Volume 2012, Issue 1 236307
Research Article
Open Access

Geometric Lattice Structure of Covering-Based Rough Sets through Matroids

Aiping Huang

Aiping Huang

Lab of Granular Computing, Zhangzhou Normal University, Zhangzhou 363000, China fjzs.edu.cn

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William Zhu

Corresponding Author

William Zhu

Lab of Granular Computing, Zhangzhou Normal University, Zhangzhou 363000, China fjzs.edu.cn

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First published: 18 December 2012
Citations: 5
Academic Editor: Zhijun Liu

Abstract

Covering-based rough set theory is a useful tool to deal with inexact, uncertain, or vague knowledge in information systems. Geometric lattice has been widely used in diverse fields, especially search algorithm design, which plays an important role in covering reductions. In this paper, we construct three geometric lattice structures of covering-based rough sets through matroids and study the relationship among them. First, a geometric lattice structure of covering-based rough sets is established through the transversal matroid induced by a covering. Then its characteristics, such as atoms, modular elements, and modular pairs, are studied. We also construct a one-to-one correspondence between this type of geometric lattices and transversal matroids in the context of covering-based rough sets. Second, we present three sufficient and necessary conditions for two types of covering upper approximation operators to be closure operators of matroids. We also represent two types of matroids through closure axioms and then obtain two geometric lattice structures of covering-based rough sets. Third, we study the relationship among these three geometric lattice structures. Some core concepts such as reducible elements in covering-based rough sets are investigated with geometric lattices. In a word, this work points out an interesting view, namely, geometric lattice, to study covering-based rough sets.

1. Introduction

Rough set theory [1] was proposed by Pawlak to deal with granularity in information systems. It is based on equivalence relations. However, the equivalence relation is rather strict, hence the applications of the classical rough set theory are quite limited. For this reason, rough set theory has been extended to generalized rough set theory based on tolerance relation [2], similarity relation [3], and arbitrary binary relation [48]. Through extending a partition to a covering, we generalize rough set theory to covering-based rough set theory [911]. Because of its high efficiency in many complicated problems such as attribute reduction and rule learning in incomplete information/decision, covering-based rough set theory has been attracting increasing research interest [12, 13].

Lattice is suggested by the form of the Hasse diagram depicting it. In mathematics, a lattice is a partially ordered set in which any two elements have a unique supremum (also called a least upper bound or join) and a unique infimum (also called a greatest lower bound or meet). They encode the algebraic behavior of the entailment relation and such basic logical connectives as “and” (conjunction) and “or” (disjunction), which results in adequate algebraic semantics for a variety of logical systems. Lattice, especially geometric lattice, is one of the most important algebraic structures and is used extensively in both theoretical and applicable fields, such as data analysis, formal concept analysis [1416], and domain theory [17].

Matroid theory [18, 19] borrows extensively from linear algebra theory and graph theory. There are dozens of equivalent ways to define a matroid. Significant definitions of a matroid include those in terms of independent sets, bases, circuits, closed sets or flats and rank functions, which provide well-established platforms to connect with other theories. In applications, matroids have been widely used in many fields such as combinatorial optimization, network flows, and algorithm design, especially greedy algorithm design [20, 21]. Some works on the connection between rough sets and matroids have been conducted [2225].

In this paper, we pay attention to geometric lattice structures of covering based-rough sets through matroids. First, a geometric lattice structure in covering-based rough sets is generated by the transversal matroid induced by a covering. Moreover, we study the characteristics of the geometric lattice structure, such as atoms, modular elements, and modular pairs. We also point out a one-to-one correspondence between this type of geometric lattices and transversal matroids in the context of covering-based rough sets. Second, generally, covering upper approximation operators are not necessarily closure operators of matroids. Then we present three sufficient and necessary conditions for two types of covering upper approximation operators to be closure operators of matroids and exhibit representations of corresponding special matroids. We study the properties of these matroids and their closed-set lattices which are also geometric lattices. Third, we study the relationship among these three geometric lattices through corresponding matroids. Furthermore, some core concepts such as reducible and immured elements in covering-based rough sets are studied by geometric lattices.

The rest of this paper is organized as follows. In Section 2, we recall some fundamental concepts related to covering-based rough sets, lattices, and matroids. Section 3 establishes a geometric lattice structure of covering-based rough sets through the transversal matroid induced by a covering. In Section 4, we present two geometric lattice structures of covering-based rough sets through two types of upper approximation operators. Section 5 studies the relationship among these three geometric lattice structures. This paper is concluded and further work is pointed out in Section 6.

2. Preliminaries

In this section, we review some basic concepts of matroids, lattices, and covering-based rough sets.

2.1. Matroids

Matroid theory borrows extensively from the terminology of linear algebra theory and graph theory, largely because it is the abstraction of various notions of central importance in these fields, such as independent set, base, and rank function. We introduce the concept of matroid, first.

Definition 2.1 (Matroid [19]). A matroid is an ordered pair (E, ) consisting of a finite set E and a collection of subsets of E satisfying the following three conditions.

  • (I1)

    .

  • (I2)

    If I and II, then I.

  • (I3)

    If I1, I2 and |I1 | <|I2|, then there is an element eI2I1 such that I1e, where |X| denotes the cardinality of X.

Let M = M(E, ) be a matroid. The members of are the independent sets of M. A set in is maximal, in the sense of inclusion, is called a base of the matroid M. If A, A is called a dependent set of the matroid M. In the sense of inclusion, a minimal dependent subset of E is called a circuit of the matroid M. If {a} is a circuit, we call {a} a loop. Moreover, if {a, b} is a circuit, then a and b are said to be parallel. A matroid is called a simple matroid if it has no loops and no parallel elements. The rank function of a matroid is a function rM : 2EN defined by rM(X) = max  {|I | : IX, I}(XE). For each XE, we say clM(X) = {aE : rM(X) = rM(X ∪ {a})} is the closure of X in M. When there is no confusion, we use the symbol cl (X) for short. X is called a closure set if cl (X) = X.

The rank function of a matroid, directly analogous to a similar theorem of linear algebra, has the following proposition.

Proposition 2.2 (Rank axiom [19]). Let E be a set. A function rM : 2EN is the rank function of a matroid on E if and only if it satisfies the following conditions.

  • (R1)

    For all X ∈ 2E, 0 ≤ rM(X)≤|X|.

  • (R2)

    If XYE, then rM(X) ≤ rM(Y).

  • (R3)

    If X, YE, then rM(XY) + rM(XY) ≤ rM(X) + rM(Y).

The following proposition is the closure axiom of a matroid. It means that a operator satisfies the following four conditions if and only if it is the closure operator of a matroid.

Proposition 2.3 (Closure axiom [19]). Let E be a set. A function clM : 2E → 2E is the closure operator of a matroid M on E if and only if it satisfies the following conditions.

  • (1)

    If XE, then X⊆clM(X).

  • (2)

    If XYE, then clM(X)⊆clM(Y).

  • (3)

    If XE, clM(clM(X)) = clM(X).

  • (4)

    If XE, xE and y ∈ clM(X ∪ {x}) − clM(X), then x ∈ clM(X ∪ {y}).

Transversal theory is a branch of a matroid theory. It shows how to induce a matroid, namely, transversal matroid, from a family of subsets of a set. Hence, the transversal matroid establishes a bridge between collections of subsets of a set and matroids.

Definition 2.4 (Transversal [19]). Let S be a nonempty finite set and J = {1,2, …, m}. = {F1, F2, …, Fm} denotes a family of subsets of S. A transversal or system of distinct representatives of {F1, F2, …, Fm} is a subset {e1, e2, …, em} of S such that eiFi for all i in J. If for some subset K of J, X is a transversal of {Fi : iK}, then X is said to be a partial transversal of {F1, F2, …, Fm}.

Example 2.5. Let S = {1,2, 3,4}, F1 = {2,3},   F2 = {4} and F3 = {2,4}. For = {F1, F2, F3}, T = {2,3, 4} is a transversal of because 2 ∈ F3, 3 ∈ F1 and 4 ∈ F2. T = {2,4} is a partial transversal of because there exists a subset of , that is, {K1, K2}, such that T is a transversal of it.

The following proposition shows what kind of matroids are transversal matroid.

Proposition 2.6 (Transversal matroid [19]). Let = {Fi : iJ} be a family subsets of E. M() = (E, ()) is a matroid, where () is the family of all partial transversals of . One calls M() = (E, ()) the transversal matroid induced by .

2.2. Lattices

Let (P, ≤) be an ordered set and a, bP. We say that a is covered by b (or b covers a) if a < b and there is no element c in P with a < c < b. A chain in P from x0 to xn is a subset {x0, x1, …, xn} of P such that x0 < x1 < ⋯<xn. The length of such a chain is n, and the chain is maximal if xi covers xi−1 for all i ∈ {1,2, …, n}. If, for every pair {a, b} of elements of P with a < b, all maximal chains from a to b have the same length, then P is said to satisfy the Jordan-Dedekind chain condition. The height hP(y) of an element y of P is the maximum length of a chain from 0 to y. A poset (, ≤) is a lattice if ab and ab exist for all a, b. Suppose is a lattice with zero element 0. If a covers 0, then a is called an atom of . Moreover, the atoms of are precisely the elements of height one. It is not difficult to check that every finite lattice has a zero and the one. A finite lattice is called semimodular if it satisfies the Jordan-Dedekind chain condition and for every pair {x, y} of elements of , the equality h(x) + h(y) ≥ h(xy) + h(xy) holds. A geometric lattice is a finite semimodular lattice in which every element is a join of atoms.

Next, we introduce the modular element and modular pair which are important concepts of lattices.

Definition 2.7 (see [17].)Let be a lattice and a, b.

  • (ME) For all x, z, xz implies x∧(az) = (xa)∨z, then a is called a modular element of .

  • (MP) For all z, bz implies b∧(az) = (ba)∨z, then (a, b) is called a modular pair of .

As we know, if a is a modular element of , then (a, b) is a modular pair of for all b, which roots in an important result of lattices. For a semimodular lattice, modular pair has close relation with height function.

Lemma 2.8 (see [17].)Let be a semimodular lattice, then (a, b) is a modular pair if and only if h(ab) + h(ab) = h(a) + h(b) for all a, b.

2.3. Closed-Set Lattice of a Matroid

If M is a matroid and (M) denotes the set of all closed sets of M ordered by inclusion, then ((M), ⊆) is a lattice. In addition to that, the operations join and meet of it are, respectively, defined as XY = XY and XY = clM(XY) for all X, Y(M). The zero of (M) is clM(), while the one is E. The following lemma gives another definition of a geometric lattice from the viewpoint of matroid. In fact, the set of all closed sets of a matroid ordered by inclusion is a geometric lattice.

Lemma 2.9 (see [19].)A lattice is geometric if and only if it is the lattice of closed sets of a matroid.

The following lemma establishes the relation between the rank function of a matroid and the height function of the closed-set lattice of the matroid.

Lemma 2.10 (see [19].)Let M be a matroid. h(M)(X) = rM(X) for all X(M).

2.4. Covering-Based Rough Sets

In this subsection, we introduce some concepts of covering-based rough sets used in this paper.

Definition 2.11 (Covering and partition). Let E be a universe of discourse, 𝒞 a family of subsets of E, and none of subsets in 𝒞 be empty. If ∪𝒞 = E, then 𝒞 is called a covering of E. Any element of 𝒞 is called a covering block. If 𝒫 is a covering of E and it is a family of pairwise disjoint subsets of E, then P is called a partition of E.

It is clear that a partition of E is certainly a covering of E, so the concept of a covering is an extension of the concept of a partition.

Let E be a finite set and R be an equivalent relation on E. R will generate a partition E/R = {Y1, Y2, …, Ym} of E, where Y1, Y2, …, Ym are the equivalence classes generated by R. For all XE, the lower and upper approximations of X, are, respectively, defined as follows:
()
Next, we introduce certain important concepts of covering-based rough sets, such as minimal description, indiscernible neighborhood, neighborhood, reducible element, and approximation operators.

Definition 2.12 (Minimal description [26]). Let 𝒞 be a covering of E and xE:

()
is called the minimal description of x. When the covering is clear, we omit the lowercase 𝒞 in the minimal description.

Definition 2.13 (Indiscernible neighborhood and neighborhood [27, 28]). Let (E, 𝒞) be a covering approximation space and xE.

  • ∪{K  : xK𝒞} is called the indiscernible neighborhood of x and denoted as I𝒞(x).

  • ∩{K  : xK𝒞} is called the neighborhood of x and denoted as N𝒞(x). When the covering is clear, we omit the lowercase 𝒞.

Definition 2.14 (A reducible covering [29]). Let 𝒞 be a covering of a domain E and K𝒞. If K is a union of some sets in 𝒞 − {K}, we say K is a reducible element in 𝒞; otherwise K is an irreducible element in 𝒞. If every element in 𝒞 is irreducible, we say 𝒞 is irreducible; otherwise 𝒞 is reducible.

Definition 2.15 (Reduct [29]). For a covering 𝒞 of a universe E, when we remove all reducible elements from 𝒞, the set of remaining elements is still a covering of E, and this new irreducible covering has not reducible element. We call thus new covering a reduct of 𝒞 and it is denoted by reduct(𝒞).

Definition 2.16 (Immured element [27]). Let 𝒞 be a covering of E and K an element of 𝒞. If there exists another element K of 𝒞 such that KK, we say that K is an immured element of covering 𝒞.

Definition 2.17 (Exclusion [27]). Let 𝒞 be a covering of E. When we remove all immured elements from 𝒞, the set of all remaining elements is still a covering of E, and this new covering has no immured element. We called this new covering an exclusion of 𝒞, and it is denoted by exclusion(𝒞).

The second type of covering rough set model was first studied by Pomykała in [30]. While the sixth type of covering-based upper approximation operator was first defined in [31].

Definition 2.18. Let 𝒞 be a covering of E. The covering upper approximation operators SH, XH : 2E → 2E are defined as follows: For all X ∈ 2E,

  • SH(X) = ∪{K𝒞 : KX} = ∪{I(x) : xX},

  • XH(X) = {x : N(x)∩X}.

SH𝒞 and XH𝒞 are called the second and the sixth covering upper approximation operators with respect to the covering 𝒞, respectively. When there is no confusion, we omit 𝒞 at the lowercase.

3. A Geometric Lattice Structure of Covering-Based Rough Sets through Transversal Matroid

As we know, if M is a matroid and (M) denotes the set of all closed sets of M ordered by inclusion, then (M) is a geometric lattice. In this section, we study the properties such as atoms, modular elements and modular pairs of this type of geometric lattice through transversal matroid induced by a covering. We also study the structure of matroid induced by the geometric lattice. It is interesting to find that there is a one-to-one correspondence between this type of geometric lattices and transversal matroids in the context of covering-based rough sets.

Let E be a nonempty finite set and 𝒞 a covering of E. As shown in Proposition 2.6, M(𝒞) = (E, (𝒞)) is the transversal matroid induced by covering 𝒞. (M(𝒞)) is the set of all closed sets of M(𝒞). Especially, (M(𝒫)) is the set of all closed sets of the transversal matroid induced by partition 𝒫. Based on Lemma 2.9, we know (M(𝒞)) and (M(𝒫)) are geometric lattices.

The theorem below connects a covering 𝒞 with clM(𝒞)(). In fact, (M()) if and only if is a covering.

Theorem 3.1. Let E be a set and M() a transversal matroid induced by a family of = {F1, F2, …, Fm} subsets of E, where Fi  (1 ≤ im). cl() = if and only if is a covering of E.

Proof. “⇐”: According to the definition of transversal matroid, any partial transversal is an independent set of transversal matroid. Since is a covering, any single-point set is an independent set. Based on the definition of closure operator of a matroid, we have clM()() = .

“⇒”: Since clM()() = , any single-point set is an independent set, that is, for all xE, there exists ix ∈ {1,2, …, m} such that . Hence, . Thus . For all i ∈ {1,2, …, m}, Fi and , hence is a covering.

Theorem 3.1 indicates that the zero of (M(𝒞)) is . The following lemma presents the form of the atoms of (M(𝒞)). In fact, the closure of any single-point set is an atom of the lattice.

Lemma 3.2. Let 𝒞 be a covering of E. For all xE, clM(𝒞)({x}) is an atom of (M(𝒞)).

Proof. Since 𝒞 is a covering, we know any single-point set is an independent set. Thus for all xE, rM(𝒞)(clM(𝒞)({x})) = rM(𝒞)({x}) = 1. As we know, the atoms of a lattice are precisely the elements of height one. Combining with Lemma 2.10 and the fact that clM(𝒞)({x}) is a closed set, we know clM(𝒞)({x}) is an atom of (M(𝒞)).

Lemma 3.2 does not establish the concrete form of clM(𝒞)({x}). In order to solve that problem, we first define two sets as follows.

Definition 3.3. Let 𝒞 = {K1, K2, …, Km} be a covering of a finite set E = {x1, x2, …, xn}. We define the following.

  • (i)

    .

  • (ii)

    .

Remark 3.4. For all i ∈ {1,2, …, s} and xAi, there exists only one block such that x belongs to it, and there exist at least two blocks such that y belongs to them for all yB.

The following two propositions establish two characteristics of A and B.

Proposition 3.5. Let 𝒞 be a covering of E. {A1, A2, …, As}∪{{x}  : xB} forms a partition of E.

Proof. Let P = {A1, A2, …, As}∪{{x}  : xB}. According to Definition 3.3, we know . Now we need to prove for all P1, P2P, P1P2 = . According to the definition of A, if P1, P2A, then P1P2 = . If P1, P2 ∈ {{x}  : xB}, then P1P2 = because Pi and Pj are different single-points. If P1A and P2 ∈ {{x} : xB}, then P1P2 = because , and P2B.

Proposition 3.6. 𝒞 is a partition of E if and only if B = .

Proof. According to the definition of A and B, the necessity is obvious. Now we prove the sufficiency. If 𝒞 is not a partition, then there exist Ki, Kj𝒞 such that KiKj. Thus there exists xE such that xKiKj, that is, there exist at least Ki, Kj𝒞 such that x belongs to them, hence xB. That contradicts the assumption that B = .

Based on Lemma 3.2 and Definition 3.3, we can establish the concrete form of the atoms of lattice (M(𝒞)).

Theorem 3.7. Let 𝒞 be a covering of E. {A1, A2, …, As}∪{{x}  : xB} is the set of atoms of lattice (M(𝒞)).

Proof. According to the definition of Ai, we may as well suppose . Based on 𝒞 being a covering and the definition of transversal matroid, we know any single-point set is an independent set, thus for all xAi, {x} is an independent set. For all yAi and yx, we know x, yKh and x, yKj for all 1 ≤ jm and jh, thus x and y cannot be chosen from different blocks in the covering 𝒞. That shows that {x, y} is not an independent set according to the definition of transversal matroid. Hence, {x} is a maximal independent set included in Ai, that is, rM(𝒞)(Ai) = 1. Next, we need to prove Ai is a closed set. Since Ai⊆clM(𝒞)(Ai), we need to prove clM(𝒞)(Ai)⊆Ai, that is, yAi implies y ∉ clM(𝒞)(Ai). If yAi, based on the fact that 𝒞 is a covering and the definition of Ai, then there exists jh such that yKj. Thus {x, y}(xAi) is an independent set. That implies y ∉ clM(𝒞)(Ai), thus clM(𝒞)(Ai) = Ai. Hence, Ai(M(𝒞)). Combining with rM(𝒞)(Ai) = 1, we know for all 1 ≤ im, Ai is an atom of lattice (M(𝒞)).

According to the definition of transversal matroid and the fact that 𝒞 is a covering, any single-point set is an independent set. Thus for all xB, rM(𝒞)({x}) = 1. For all yE and yx, if yB, then there exist at least two blocks containing y according to the definition of B. We may as well suppose yKk, Kt and xKl, Kp, where {Kk, Kt} may be the same as {Kl, Kp}. Based on this, {x, y} is an independent set. This implies y ∉ clM(𝒞)({x}). If yB, then we may as well suppose yAi, thus yKh for the definition of Ai, where Kh may be the same with Kl or Kp. Based on this, x and y can be chosen from different blocks in covering 𝒞, thus {x, y} is an independent set. That implies y ∉ clM(𝒞)({x}). From above discussion, we have clM(𝒞)({x}) = {x}. Hence, {x} ∈ (M(𝒞)) for all xB. Combining with rM(𝒞)({x}) = 1, we know {x} is an atom of lattice (M(𝒞)) for all xB.

Next, we will prove the set of atoms of lattice (M(𝒞)) cannot be anything but {A1, A2, …, As}∪{{x}  : xB}. According to Lemma 3.2, we know {clM(𝒞)({x})  : xE} is the set of atoms of lattice (M(𝒞)). Similar to the proof of the second part, we know that if xB then clM(𝒞)({x}) = {x}. If xB, then x belongs to one of elements in A. We may as well suppose xAi. Combining Ai is an atom with ⊆clM(𝒞)({x})⊆clM(𝒞)(Ai) = Ai, we have clM(𝒞)({x}) = Ai. Hence, {A1, A2, …, As}∪{{x}  : xB} is the set of atoms of lattice (M(𝒞)).

The proposition below connects simple matroid and the cardinal number of Ai. In fact, a matroid is simple if and only if |Ai | = 1 for all AiA.

Lemma 3.8. Let 𝒞 be a covering of E. For all AiA, if |Ai | ≥ 2, then x and y are parallel in M(𝒞) for all x, yAi.

Proof. According to the definition of Ai, we may as well suppose , where 1 ≤ hm. For all x, yAi, then x, yKh, and for all j ∈ {1,2, …, m} and jh, we have xKj and yKj. Thus {x, y} is not an independent set. Based on the definition of transversal matroid and the fact that 𝒞 is a covering, any single-point set is an independent set. Thus {x} or {y} is an independent set. Hence, x, y are parallel in M(𝒞).

Proposition 3.9. Let 𝒞 be a covering of E. M(𝒞) is a simple matroid if and only if |Ai | = 1 for all AiA.

Proof. “⇒”: Since M(𝒞) is a simple matroid, it does not contain parallel elements. If there exists AiA such that |Ai | ≠ 1, then |Ai | ≥ 2 because Ai. According to Lemma 3.8, we know for all x, yAi, x, y are parallel which contradicts the assumption that M(𝒞) is a simple matroid. Hence, for all AiA, |Ai | = 1.

“⇐”: According to the definition of parallel element, if |Ai | = 1 for all AiA, then M(𝒞) does not contain parallel elements; otherwise, we may as well suppose x, y are parallel, then there exists only one block which contains x, y. Hence, there exists AiA such that x, yAi, that is, |Ai | ≥ 2. This contradicts the fact that |Ai | = 1 for all AiA. Based on the definition of transversal matroid and the fact that 𝒞 is a covering, any single-point set is an independent set, thus M(𝒞) does not contain loops. Hence, M(𝒞) does not contain parallel elements and loops which implies that M(𝒞) is a simple matroid.

When a covering degenerates into a partition, we also have the above results.

Corollary 3.10. Let 𝒫 = {P1, P2, …, Pm} be a partition of E. 𝒫 is the set of atoms of lattice (M𝒫).

Corollary 3.11. Let 𝒫 = {P1, P2, …, Pm} be a partition of E. M(𝒫) is a simple matroid if and only if |Pi | = 1 for all PiP.

For a geometric lattice (M(𝒞)), any closure of single-point is an atom of it. However, the closure of any two elements of E may not be a element which covers some atoms of this lattice. The following proposition shows in what condition clM(𝒞)({x, y}) covers certain atoms of lattice (M(𝒞)).

Proposition 3.12. Let 𝒞 be a covering of E. For all x, yE, clM(𝒞)({x, y}) covers clM(𝒞)({x}) if and only if there does not exist AiA such that x, yAi.

Proof. “⇐”: For all x, yE, {x}⊆{x, y}, then clM(𝒞)({x})⊆clM(𝒞)({x, y}) and 1 = rM(𝒞)(clM(𝒞)({x})) ≤ rM(𝒞)(clM(𝒞)({x, y})) = rM(𝒞)({x, y})≤|{x, y}| = 2. Now we need to prove rM(𝒞)(clM(𝒞)({x, y})) = 2. If rM(𝒞)(clM(𝒞)({x, y})) = rM(𝒞)({x, y}) = 1 = rM(𝒞)({x}), then {x, y} ∉ (𝒞), that is, there is only one block contains x, y. It means that there exists AiA such that x, yAi. That contradicts the hypothesis. Hence, rM(𝒞)(clM(𝒞)({x, y})) = 2, that is, clM(𝒞)({x, y}) covers clM(𝒞)({x}).

“⇒”: For all x, yE, if there exists AiA such that x, yAi, then there is only one block contains x, y, thus x, y(𝒞), hence {x, y}⊆clM(𝒞)({x}). That implies clM(𝒞)({x, y})⊆clM(𝒞)({x}) which contradicts the assumption that clM(𝒞)({x, y}) covers clM(𝒞)({x}).

The modular element and the modular pair are core concepts in lattice. As we know, if a is a modular element of , then (a, b) is a modular pair of for all b, which roots in an important result of lattices. The following theorem shows the relationship among modular element, modular pair and rank function of a matroid in lattice (M).

Theorem 3.13. Let M be a matroid and (M) the set of all closed sets of M.

  • (1)

    For all X, Y(M), (X, Y) is a modular pair of (M) if and only if rM(XY)+rM(XY) = rM(X)+rM(Y).

  • (2)

    For all X(M), X is a modular element of (M) if and only if rM(XY)+rM(XY) = rM(X)+rM(Y), for all Y(M).

Proof. (1) According to Lemmas 2.8 and 2.10, we know (X, Y) is a modular pair of (M) if and only if rM(X) + rM(Y) = rM(XY) + rM(XY) = rM(clM(XY)) + rM(XY) = rM(XY) + rM(XY).

(2) It comes from the definition of modular element and (1).

Let {Ai  : i ∈ Γ} be the set of atoms of lattice (M(𝒞)), where Γ denotes the index set. The following theorem shows the relationship among atoms, modular pairs, and modular elements of the lattice.

Theorem 3.14. Let 𝒞 be a covering of E. For all i, j ∈ Γ.

  • (1)

    (Ai, Aj) is a modular pair of (M(𝒞)).

  • (2)

    Ai is a modular element of (M(𝒞)).

Proof. (1) Since 𝒞 is a covering, clM(𝒞)() = . Ai and Aj are atoms, so AiAj = . According to Theorem 3.13, we need to prove rM(𝒞)(AiAj) + rM(𝒞)(AiAj) = rM(𝒞)(Ai) + rM(𝒞)(Aj), that is, rM(𝒞)(AiAj) = 2. According to the submodular inequality of rM(𝒞), we have rM(𝒞)(AiAj) + rM(𝒞)(AiAj) ≤ rM(𝒞)(Ai) + rM(𝒞)(Aj), that is, 1 ≤ rM(𝒞)(AiAj) ≤ 2. If rM(𝒞)(AiAj) = 1 = rM(𝒞)(Ai), then Aj⊆clM(𝒞)(Ai) = Ai which contradicts that AiAj = .

(2) Ai is a modular element of (M(𝒞)) if and only if rM(𝒞)(AiA)+rM(𝒞)(AiA) = rM(𝒞)(Ai)+rM(𝒞)(A) for all A(M(𝒞)).

Case  1. If Ai and A are comparable, that is, AiA, then rM(𝒞)(AiA)+rM(𝒞)(AiA) = rM(𝒞)(Ai)+rM(𝒞)(A).

Case  2. If Ai and A are not comparable, there are two cases. One is that A is an atom of (M(𝒞)), the other is that A is not an atom of (M(𝒞)). If A is an atom of (M(𝒞)), then we obtain the result from (1). If A is not an atom of (M(𝒞)), then AAi = . Hence, rM(𝒞)(A)≤rM(𝒞)(AAi)≤rM(𝒞)(A)  +  1. If rM(𝒞)(AAi) = rM(𝒞)(A), then Ai⊆clM(𝒞)(A) = A which contradicts that AiA = . Hence, rM(𝒞)(AAi) = rM(𝒞)(A) + 1.

In a word, for all A(M(𝒞)), rM(𝒞)(AiA) + rM(𝒞)(AiA) = rM(𝒞)(Ai) + rM(𝒞)(A), that is, Ai is a modular element of (M(𝒞)) for all i ∈ Γ.

When a covering degenerates into a partition, it is not difficult for us to obtain the following result.

Corollary 3.15. Let 𝒫 be a partition of E. For all Pi, Pj𝒫:

  • (1)

    (Pi, Pj) is a modular pair of (M(𝒫)).

  • (2)

    Pi is a modular element of (M(𝒫)).

The following lemma shows how to induce a matroid by a lattice. In fact, if a function f on a lattice is nonnegative, integer-valued, submodular and f() = 0, then it can determine a matroid.

Lemma 3.16 (see [19].)Let E be a lattice of subsets of a set E such that E is closed under intersection, and contains and E. Suppose that f is a nonnegative, integer-valued, submodular function on E for which f() = 0. Let (E, f) = {XE : f(X)≥|XT | ,   for  all  TE}. (E, f) is the collection of independent sets of a matroid on E.

According to the definition of (M(𝒞)), we find that (M(𝒞)) is closed under intersection, and contains and E. Moreover, the rank function of M(𝒞) is a nonnegative, integer-valued, submodular function on (M(𝒞) for which rM(𝒞)() = 0. Similar to Lemma 3.16, we can obtain the following theorem.

Theorem 3.17. Let 𝒞 be a covering of E. We define ((M(𝒞)), rM(𝒞)) = {XE : rM(𝒞)(Y)≥|XY|,  for  all  Y(M(𝒞))}, then M(E, ((M(𝒞), rM(𝒞))) is a matroid.

For any given matroid M, we know that for all XE, X is an independent set of M if and only if rM(X) = |X|. Moreover, based on the properties of rank function, we have rM(X)≤|X|. Hence, X is an independent set of M if and only if rM(X)≥|X| for all XE.

Lemma 3.18. Let M be a matroid. X is an independent set of M if and only if for all closed set Y of M, rM(Y)≥|XY|.

Proof. “⇒”: Since for all closed set Y, XYX and X is an independent set, XY is an independent set of M according to the independent set axiom of a matroid. Hence, we have rM(Y) ≥ rM(XY)≥|XY|.

“⇐”: For all closed set Y, rM(Y)≥|XY|. Especially, for Y = clM(X), we have rM(X) = rM(clM(X)) = rM(Y)≥|XY | = |X|. Hence, X is an independent set of matroid M.

What is the relation between the two matroids induced by a covering and a geometric lattice, respectively? In order to establish the relation between them, we first denote r(M(𝒞)) as the rank function of M(E, ((M(𝒞), rM(𝒞))) on E. The following theorem shows there is a one-to-one correspondence between geometric lattices and transversal matroids in the context of covering-based rough sets.

Theorem 3.19. Let 𝒞 be a covering of E. For all XE, ((M(𝒞), rM(𝒞)) = (M(𝒞)) and r(M(𝒞))(X) = rM(𝒞)(X).

Proof. According to Lemma 3.18, we know that ((M(𝒞), rM(𝒞)) = {XE : rM(𝒞)(Y)≥|XY | ,   for  all  Y(M(𝒞))} and (𝒞) = {XE : rM(𝒞)(X) = |X|} are equivalent, that is, M(E, ((M(𝒞), rM(𝒞))) and M(E, (𝒞)) are equivalent. So does r(M(𝒞))(X) = rM(𝒞)(X) for all XE.

When a covering degrades into a partition, we can obtain a matroid M(𝒫) = (E, (P)), where (𝒫) = {XE : for  all  Pi𝒫, |XPi | ≤ 1} and rM(𝒫)(X) = max  {|I | : IX, I(𝒫)} = |{Pi𝒫 : PiX}| for all XE. As we know, for all X, Y(M), XY = clM(XY). If the matroid is M(𝒫), then XY = XY.

Lemma 3.20 (see [25].)If 𝒫 is a partition of E and M is the matroid, then clM = R* for all XE.

Lemma 3.21. Let 𝒫 be a partition of E. For all X, Y(M(𝒫)), XY = XY.

Proof. XY = clM(𝒫)(XY) = R*(XY) = R*(X) ∪ R*(Y) = clM(𝒫)(X) ∪ clM(𝒫)(Y) = XY.

Based on the above two lemmas, we can obtain the following proposition.

Proposition 3.22. Let 𝒫 be a partition of E. For all XE, ((M(𝒫)), rM(𝒫)) = (M(𝒫)) and r(M(𝒫))(X) = rM(𝒫)(X).

Proof. We need to prove only ((M(𝒫)), rM(𝒫)) = (M(𝒫)). For all X((M(𝒫)), rM(𝒫)), then rM(𝒫)(Y)≥|XY| for all Y(M(𝒫)). Since Pi(M(𝒫)), |XPi | ≤ rM(𝒫)(Pi) = 1. Thus X(M(𝒫)). Hence, ((M(𝒫), rM(𝒫))⊆(M(𝒫)). According to Lemmas 2.9 and 3.21, for all Y(M(𝒫)), there exists K⊆{1,2, …, m} such that Y = ⋁iKPi = ⋃iKPi. Thus rM(𝒫)(Y) = |K| and |XY | = |X∩(⋃iKPi)| = |⋃iK (XPi)| = ∑iK|XPi|. For all X(M(𝒫)), |XPi | ≤ 1. Hence, |XY | = ∑iK|XPi|≤|K | = rM(𝒫)(Y), that is, (M(𝒫))⊆((M(𝒫)), rM(𝒫)).

4. Two Geometric Lattice Structures of Covering-Based Rough Sets through Approximation Operators

A geometric lattice structure of covering-based rough sets is established through the transversal matroid induced by a covering, and its characteristics including atoms, modular elements, and modular pairs are studied in Section 3. In this section, we study matroidal structures and the geometric lattice structures from the viewpoint of covering upper approximation operators. The conditions of two types of upper approximation operators to be matroidal closure operators are obtained, and the properties of the matroids and their geometric lattice structures induced by the operators are also established.

Pomykała first studied the second type of covering rough set model [30]. Zhu and Wang studied the axiomatization of this type of upper approximation operator and the relationship between it and the Kuratowski closure operator in [27]. First, we give some properties of this operator.

Proposition 4.1. Let 𝒞 be a covering of E. SH has the following properties:

  • (1)

    SH() = ,

  • (2)

    X⊆SH(X) for all XE,

  • (3)

    SH(XY) = SH(X) ∪ SH(Y) for all X, YE,

  • (4)

    x ∈ SH({y})⇔y ∈ SH({x}) for all x, yE,

  • (5)

    XYE⇒SH(X)⊆SH(Y),

  • (6)

    for all x, yE, y ∈ SH(X ∪ {x}) − SH(X), then x ∈ SH(X ∪ {y}).

Proof. (1)–(5) were proven in [30, 32, 33]. Here we prove only (6). According to (3), we know SH(X ∪ {x}) − SH(X) = SH(X) ∪ SH({x}) − SH(X) = SH({x}) − SH(X). If y ∈ SH(X ∪ {x}) − SH(X), then y ∈ SH({x}). According to (4) and (5), we have x ∈ SH({y})⊆SH(X ∪ {y}).

We find that the idempotent of SH is not valid, so what is the condition that guarantees it holds for SH? We have the following conclusion.

Proposition 4.2. Let 𝒞 be a covering of E. For all XE, SH(SH(X)) = SH(X) if and only if {I(x) : xE} induced by 𝒞 forms a partition of E.

Proof. “⇐”: According to (2), (5) of Proposition 4.1, we have SH(X)⊆SH(SH(X)). Now we prove SH(SH(X))⊆SH(X). For all x ∈ SH(SH(X)), there exists y ∈ SH(X) such that xI(y). Since y ∈ SH(X), there exists zX such that yI(z). According to the definition of I(y), we know yI(y), thus I(z)∩I(y) ≠ . For {I(x) : xE} forms a partition, I(z) = I(y). Since xI(y), xI(z), that is, x ∈ SH(X), thus SH(SH(X))⊆SH(X).

“⇒”: In order to prove {I(x)  : xE} forms a partition, we need to prove that for all x, yE, if I(x)∩I(y) ≠ , then I(x) = I(y). If I(x)∩I(y) ≠ , then there exists zI(x)∩I(y). For SH(SH({x})) = ∪{I(u)  : uI(x)} and zI(x), then I(z)⊆SH(SH({x})) = SH({x}) = I(x). Based on the definition of I(z) and zI(x), we have xI(z), thus I(x)⊆SH(SH({z})) = SH({z}) = I(z). Hence, I(x) = I(z). Similarly, we can obtain I(y) = I(z), thus I(x) = I(z) = I(y).

The following theorem establishes a necessary and sufficient condition for SH to be a closure operator.

Theorem 4.3. Let 𝒞 be a covering of E. SH is a closure operator of a matroid if and only if {I(x)  : xE} induced by 𝒞 forms a partition of E.

Proof. It comes from Propositions 4.1 and 4.2 and (2), (5), and (6) of Proposition 2.3.

For a given covering 𝒞 of E, we may as well suppose the set of indiscernible neighborhoods of E as {I(x) : xE} = {I(x1), I(x2), …, I(xs)} where x1, x2, …, xsE.

Definition 4.4. Let 𝒞 be a covering of E. We define = {IE:|II(xi)| ≤ 1,   for  all  i ∈ {1,2, …, s}}.

As we know, if {I(x) : xE} = {I(x1), I(x2), …, I(xs)} forms a partition of E, then M(E, ) is a matroid and SH is the closure operator of a matroid. Thus SH can determine a matroid, and the independent sets of the matroid induced by it are established as follows:
()
The following proposition shows M(E, SH) = M(E, ) under the condition that {I(x) : xE} forms a partition of E.

Proposition 4.5. Let 𝒞 be a covering of E. If {I(x)  : xE} induced by 𝒞 forms a partition of E, then M(E, SH(𝒞)) is a matroid and SH(𝒞) = .

Proof. Let cl  = {IE : for  all  xI, x ∉ cl (I − {x})}. we know that if an operator cl  satisfies (1)–(4) of Proposition 2.3, M(E, cl ) is a matroid. {I(x)  : xU} induced by 𝒞 forms a partition, hence, M(E, SH(𝒞)) is a matroid. Since SH(I) = ⋃yII(y), SH(I − {x}) = ⋃yI−{x}I(y). According to the definition of I(x), we know xI(x). On one hand, for all ISH(𝒞), we know that for all xI, x ∉ SH(I − {x}), that is, for all yI and yx, xI(y). If I, that is, there exists 1 ≤ is such that |II(xi)| ≥ 2, then we may as well suppose there exist u, v such that u, vI(xi) and u, vI. Since uI(u), vI(v) and {I(x) : xE} forms a partition, I(u) = I(v) = I(xi). Based on that, we know there exists uI and uv such that uI(v), that implies contradiction. Hence, I, that is, SH(𝒞)⊆. On the other hand, if ISH(𝒞), then there exists xI such that x ∈ SH(I − {x}) = ⋃yI−{x}I(y). That implies that there exists yI and yx such that xI(y). Since xI(x) and {I(x)  : xU} forms a partition, I(x) = I(y). Thus x, yII(x), that implies |II(x)| ≥ 2, that is, I. Hence, SH(𝒞).

We denote the rank function of M(E, SH(𝒞)) by rSH. Then some properties of M(E, SH(𝒞)) are established in the following proposition.

Proposition 4.6. Let 𝒞 be a covering of E. If {I(x)  : xE} = {I(x1), I(x2), …, I(xs)} induced by 𝒞 forms a partition of E, then

  • (1)

    X is a base of M(E, SH(𝒞)) if and only if |XI(xi)| = 1 for all i ∈ {1,2, …, s}. Moreover, M(E, SH(𝒞)) has |I(x1)||I(x2)| ⋯ |I(xs)| bases.

  • (2)

    For all XE, rSH(X) = |{I(xi) : I(xi)∩X,   i = 1,2, …, s}|.

  • (3)

    X is a dependent set of M(E, SH(𝒞)) if and only if there exists I(xi)∈{I(x) : xE} such that |I(xi)∩X | > 1.

  • (4)

    X is a circuit of M(E, SH(𝒞)) if and only if there exists I(xi)∈{I(x) : xE} such that XI(xi) and |X | = 2.

Proof. (1) According to the definition of base of a matroid, we know that X is a base of M(E, SH(𝒞))⇔X is a maximal independent set of M(E, SH(𝒞))⇔|XI(xi)| = 1 for all i ∈ {1,2, …, s} because SH(𝒞) = . Since X is a base of M(E, SH(𝒞)) and I(x1), I(x2), …, I(xs) are different, M(E, SH(𝒞)) has |I(x1)||I(x2)| ⋯ |I(xs)| bases.

(2) According to the definition of rank function, we know rSH(X) = |BX | = |{I(xi) :|BXI(xi)| = 1}|≤|{I(xi) : XI(xi) ≠ }|, where BX is a maximal independent set included in X. Now we just need to prove the inequality |{I(xi) :|BXI(xi)| = 1}|<|{I(xi)  : XI(xi) ≠ }| does not hold; otherwise, there exists 1 ≤ is such that I(xi)∩X and I(xi)∩BX = because BXSH(𝒞). Thus there exists eiI(xi)∩X such that BX ∪ {ei}⊆X and BX ∪ {ei} ∈ SH(𝒞). That contradicts the assumption that BX is a maximal independent set included in X. Hence, rSH(X) = |{I(xi) : I(xi)∩X,   i = 1,2, …, s}|.

(3) According to the definition of dependent set, we know that X is a dependent set ⇔XSH(𝒞)⇔ there exists i ∈ {1,2, …, s} such that |XI(xi)| > 1.

(4) “⇒”: As we know, a circuit is a minimal dependent set. X is a circuit of M(E, SH(𝒞)), then there exists i ∈ {1,2, …, s} such that |I(xi)∩X | = 2. Now we just need to prove |X | = 2; otherwise, we may as well suppose X = {x, y, z} where x, yI(xi)∩X. Thus we can obtain |(X − {z})∩I(xi)| = 2, that is, X − {z} ∉ SH(𝒞). That contradicts the minimality of circuit. Combining |X | = 2 with |I(xi)∩X | = 2, we have XI(xi).

“⇐”: Since |X | = 2, we may as well suppose X = {x, y}, and |XI(xi)| = 2 because there exists I(xi)∈{I(x)  : xE} such that XI(xi), thus X is a dependent set. For all j ∈ {1,2, …, s}, |{x}∩I(xj)| ≤ 1 and |{y}∩I(xj)| ≤ 1 which implies {x} and {y} are independent sets, hence X is a circuit of M(E, SH(𝒞)).

For a covering 𝒞 of E, we denote SH(M(𝒞)) as the set of all closed sets of M(E, SH(𝒞)). When {I(x) : xE} = {I(x1), I(x2), …, I(xs)} forms a partition of E, then for all X, YSH(M(𝒞)), XY = XY, XY = SH(XY) = SH(X) ∪ SH(Y) = XY and SH() = .

Proposition 4.7. Let 𝒞 be a covering of E. If {I(x) : xE} = {I(x1), I(x2), …, I(xs)} forms a partition of E, then

  • (1)

    I(x1), I(x2), …, I(xs) are all atoms of (MSH).

  • (2)

    For all x, yE and xy, there does not exist I(z)∈{I(x1), I(x2), …, I(xs)} such that x, yI(z) if and only if SH({x, y}) covers SH({x}) or SH({y}).

  • (3)

    For all i, j ∈ {1,2, …, s}, (I(xi), I(xj)) is a modular pair of SH(M(𝒞)).

  • (4)

    For all i ∈ {1,2, …, s}, I(xi) is a modular element of SH(M(𝒞)).

Proof. (1) comes from Corollary 3.10, Theorem 4.3 and Proposition 4.5. Based on Proposition 3.12 and Theorem 4.3, we can obtain (2). According to Corollary 3.15, Theorem 4.3 and Proposition 4.5, it is easy to obtain (3) and (4).

Based on Theorem 4.3, we know that a necessary and sufficient condition for SH to be a closure operator of a matroid is that {I(x)  : xE} forms a partition of E. The following two propositions show what kind of coverings can satisfy that condition.

Lemma 4.8. Let 𝒞 be a covering of E and K𝒞. If K is an immured element, then I(x) is the same in 𝒞 as in 𝒞 − {K}.

Proof. If xK, then I𝒞(x) = I𝒞−{K}(x). If xK, then . Since K is an immured element, there exists xK such that KK. Thus . Hence, I(x) is the same in 𝒞 as in 𝒞 − {K}.

Proposition 4.9. Let 𝒞 be a covering of E. If exclusion(𝒞) is a partition of E, then {I(x)  : xE} induced by 𝒞 also forms a partition of E.

Proof. Since exclusion(𝒞) is a partition of E, {I(x)  : xE} induced by exclusion(𝒞) forms a partition. Suppose {K1, K2, …, Ks} is the set of all immured elements of 𝒞. According to Lemma 4.8, we know for all xE, I(x) is the same in exclusion(𝒞) as in exclusion(𝒞)∪{K1}. Thus {I(x)  : xE} induced by exclusion(𝒞)∪{K1} forms a partition of E. And the rest may be deduced by analogy, we know that for all xE, I(x) is the same in exclusion(𝒞) as in 𝒞, thus {I(x)  : xE} induced by 𝒞 forms a partition of E.

The proposition below establishes a necessary and sufficient condition for {I(x)  : xE} forms a partition of E from the viewpoint of coverings.

Proposition 4.10. Let 𝒞 be a covering of E. {I(x)  : xE} induced by 𝒞 forms a partition of E if and only if 𝒞 satisfies (TRA) condition: For all x, y, zE,   x, zK1𝒞,   y, zK2𝒞, there exists K3𝒞 such that x, yK3.

Proof. “⇐”: For all x, yE, I(x)∩I(y) = or I(x)∩I(y) ≠ . If I(x)∩I(y) ≠ , then there exists zI(x) and zI(y). According to the definition of I(x) and I(y), there exist K1, K2 such that x, zK1 and y, zK2. According to the hypothesis, we know there exists K3𝒞 such that x, yK3. Now we need to prove only I(x) = I(y). For all uI(x), there exists K𝒞 such that u, xK. Since x, yK3, there exists K𝒞 such that u, yK, that is, uI(y), thus I(x)⊆I(y). Similarly, we can prove I(y)⊆I(x). Hence, I(x) = I(y), that is, {I(x)  : xE} forms a partition of E.

“⇒”: For all x, y, zE,   x, zK1𝒞 and y, zK2𝒞, we can obtain zI(x) and zI(y). That implies I(x)∩I(y) ≠ . Since {I(x)  : xE} forms a partition of E, I(x) = I(y). Thus there exists K3𝒞 such that x, yK3.

The following theorem presents a necessary and sufficient condition for SH to be a closure operator of a matroid from the viewpoint of coverings.

Theorem 4.11. Let 𝒞 be a covering of E. 𝒞 satisfies (TRA) condition if and only if SH induced by 𝒞 is a closure operator of a matroid.

Proof. It comes from Theorem 4.3 and Proposition 4.10.

The sixth type of covering-based upper approximation operator was first defined in [31]. Xu and Wang introduced this type of covering-based rough set model and studied the relationship between it and binary relation based rough set model. The following proposition gives some properties of this covering upper approximation operator.

Proposition 4.12 (see [26].)Let 𝒞 be a covering of E. XH has the following properties:

  • (1)

    XH(E) = E,

  • (2)

    XH() = ,

  • (3)

    X⊆XH(X) for all XE,

  • (4)

    XH(XY) = XH(X) ∪ XH(Y) for all X, YE,

  • (5)

    XH(XH(X)) = XH(X) for all XE,

  • (6)

    for all XYE⇒XH(X)⊆XH(Y).

From the above proposition, we find that XH does not satisfy the (4) of Proposition 2.3. The following proposition establishes a necessary and sufficient condition for XH to satisfy the condition.

Proposition 4.13. Let 𝒞 be a covering of E. For all x, yE and XE, XH satisfies

()
if and only if {N(x)  : xE} forms a partition of E.

Proof. ⇒: For all x, yE, if N(x)∩N(y) ≠ , then there exists zN(x)∩N(y). Let X = . According to (2) of Proposition 4.12, we know that if y ∈ XH({x}) then x ∈ XH(y), that is, if xN(y) then yN(x). Since zN(x), N(z)⊆N(x). According to the assumption, we also have xN(z), that is, N(x)⊆N(z). Thus N(x) = N(z). Similarly, zN(y), we have N(z) = N(y). Thus N(x) = N(z) = N(y). Hence, {N(x)  : xE} forms a partition of E.

⇐: Since XH(XY) = XH(X) ∪ XH(Y) for all X, YU, y ∈ XH(X ∪ {x}) − XH(X) = XH(X) ∪ XH({x}) − XH(X) = XH({x}) − XH(X). Now we prove x ∈ XH({y}). Since y ∈ XH({x}), xN(y). Because the fact that {N(x)  : xE} forms a partition of E, xN(x) and xN(y), we have N(x) = N(y), thus yN(x), that is, x ∈ XH({y}). Hence x ∈ XH({y})⊆XH(X ∪ {y}).

The following theorem establishes a necessary and sufficient condition for XH to be a closure operator of a matroid.

Theorem 4.14. Let 𝒞 be a covering of E. {N(x)  : xE} induced by 𝒞 forms a partition of E if and only if XH is a closure operator of a matroid.

Proof. It comes from (3), (5), and (6) of Propositions 4.12 and 4.13.

For convenience, for a given covering 𝒞 of E, we may as well suppose the set of all neighborhoods as {N(x) : xE} = {N(x1), N(x2), …, N(xt)} where x1, x2, …, xtE.

Definition 4.15. Let 𝒞 be a covering of E. We define ′′ = {IE :|IN(xi)| ≤ 1,   for  all  i ∈ {1,2, …, t}}.

Theorem 4.14 indicates that if {N(x)  : xE} forms a partition of E, then XH is a closure operator of a matroid. Hence, XH can determine a matroid, and the independent sets of the matroid induced by it are established as follows:
()
Similar to the case of SH, we can obtain the following results.

Proposition 4.16. Let 𝒞 be a covering of E. If {N(x)  : xE} induced by 𝒞 forms a partition of E, then M(E, XH(𝒞)) is a matroid and XH(𝒞) = ′′.

rXH denotes the rank function of M(E, XH(𝒞)) and XH(M(𝒞)) denotes the set of all closed sets of M(E, XH(𝒞)). Then we can obtain the following proposition.

Proposition 4.17. Let 𝒞 be a covering of E. If {N(x)  : xE} = {N(x1), N(x2), …, N(xt)} induced by 𝒞 forms a partition of E, then

  • (1)

    X is a base of M(E, XH(𝒞)) if and only if |XN(xi)| = 1  (1 ≤ it), and M(E, XH(𝒞)) has |N(x1)||N(x2)| ⋯ |N(xs)| bases.

  • (2)

    For all XE, rXH(X) = |{N(xi)  : N(xi)∩X,   1 ≤ it}|.

  • (3)

    X is a circuit of M(E, XH(𝒞)) if and only if there exists N(xi)∈{N(x)  : xE} such that XN(xi) and |X | = 2.

  • (4)

    X is a dependent set of M(E, XH(𝒞)) if and only if there exists N(xi)∈{N(x) : xE} such that |N(xi)∩X | > 1.

  • (5)

    {N(x1), N(x2), …, N(xt)} is the set of all atoms of lattice XH(M(𝒞)).

  • (6)

    For all x, yE and xy, there does not exist N(z)∈{N(x1), N(x2), …, N(xt)} such that x, yN(z) if and only if XH({x, y}) covers XH({x}) or XH({y}).

  • (7)

    For all i, j ∈ {1,2, …, t}, (N(xi), N(xj)) is a modular pair of lattice XH(M(𝒞)).

  • (8)

    For all i ∈ {1,2, …, t}, N(xi) is a modular element of lattice XH(M(𝒞)).

The proof of Propositions 4.16 and 4.17 is similar to that of Propositions 4.5, 4.6, and 4.7, respectively. So we omit the proofs of them. Similar to the case of SH, we also study what kind of coverings can make {N(x)  : xE} form a partition of E. This paper establishes only two kinds of coverings. There are some coverings which satisfy the condition appear in [34, 35].

Lemma 4.18. Let 𝒞 be a covering on E and K be reducible in 𝒞. For all xU, N(x) is the same in 𝒞 as in 𝒞 − {K}.

Proof. For all xE, Md(x) is the same for covering 𝒞 and covering 𝒞 − {K}, so N(x) = ∩Md(x) is the same for the covering 𝒞 and covering 𝒞 − {K}.

Proposition 4.19. Let 𝒞 be a covering of E. If reduct(𝒞) is a partition of E, then {N(x)  : xE} induced by 𝒞 is also a partition of E.

Proof. Since reduct(𝒞) is a partition of E, {N(x)  : xE} induced by reduct(𝒞) forms a partition of E. Suppose {K1, K2, …, Ks} is the set all reducible elements of 𝒞. According to Lemma 4.18, we know that for all xE, N(x) is the same in reduct(𝒞) as in reduct(𝒞)∪{K1}, thus {N(x)  : xE} induced by reduct(𝒞)∪{K1} forms a partition of E. And the rest may be deduced by analogy, then we can obtain for all xE, N(x) is the same in reduct(𝒞) as in 𝒞, thus {N(x)  : xE} induced by 𝒞 forms a partition of E.

The following proposition establishes a sufficient condition for {N(x)  : xE} to be a partition of E from the viewpoint of coverings.

Proposition 4.20. Let 𝒞 be a covering of E. If 𝒞 satisfies (EQU) condition: For all K𝒞, for all x, yK, the number of blocks which contain x is equal to that of blocks which contain y, then {N(x)  : xE} induced by 𝒞 forms a partition of E.

Proof. For all x, yE, if N(x)∩N(y) ≠ , then there exists zE such that zN(x) and zN(y), that is, the blocks which contain x also contain z and the blocks which contain y also contain z. Hence, there exist such that x, zKi and . Without loss of generality, we suppose {K1, K2, …, Ks} is the set of all blocks which contain x and is the set of all blocks which contain y. Since the number of blocks which contain z is equal to that of blocks which contain x, {K1, K2, …, Ks} is the set of all blocks which contain z, thus . Hence, N(x)⊆N(y). Similarly, we can prove N(y)⊆N(x). Hence, N(x) = N(y), that is, {N(x)  : xE} forms a partition of E.

Based on Theorem 4.14, Propositions 4.19 and 4.20, we can obtain the following two corollaries.

Corollary 4.21. Let 𝒞 be a covering of E. If reduct(𝒞) is a partition of E, then XH is a closure operator of a matroid.

Corollary 4.22. Let 𝒞 be a covering on E. If 𝒞 satisfies (EQU) condition, then XH is a closure operator of a matroid.

5. Relationships among Three Geometric Lattice Structures of Covering-Based Rough Sets

In Section 3, the properties of the geometric lattice induced by a covering have been studied by the matroid M(E, (𝒞)). Section 4 presents three sufficient and necessary conditions for two types of covering upper approximation operators to be closure operators of matroids. Moreover, we exhibit two types of matroidal structures through closure axioms, and then obtain two geometric lattice structures of covering-based rough sets. In this section, we study the relationship among above three types of geometric lattices through corresponding matroids. We also discuss the reducible element and the immured element’s influence on the relationship among this three types of matroidal structures and geometric lattice structures.

The following proposition shows the relationship between SH(𝒞) and (𝒞), and the relationship between SH(M(𝒞)) and (M(𝒞)).

Proposition 5.1. Let 𝒞 be a covering of E. If SH induced by 𝒞 is a closure operator, then SH(𝒞)⊆(𝒞) and SH(M(𝒞))⊆(M(𝒞)).

Proof. Since SH induced by 𝒞 is a closure operator, {I(x)  : xE} = {I(x1), I(x2), …, I(xs)} forms a partition of E. For all ISH(𝒞), suppose I = {i1, i2, …, iα}  (αs) such that and . According to the definition of I(x), there exists such that . Since {I(x1), I(x2), …, I(xs)} forms a partition of E, thus are different blocks. According to the definition of transversal matroid, we have I. Hence, SH(𝒞)⊆(𝒞).

For all XSH(M(𝒞)), X = SH(X) = ⋃xXI(x). Now we need to prove X(M(𝒞)), that is, clM(𝒞)(X) = X = {xrM(𝒞)(X) = rM(𝒞)(X ∪ {x})}. Since X⊆clM(𝒞)(X), if clM(𝒞)(X) ≠ X, then clM(𝒞)(X)  ⊈  X, that is, there exists yX such that rM(𝒞)(X) = rM(𝒞)(X ∪ {y}). Suppose T = {t1, t2, …, tt}  (ts) is a maximal independent set included in X, then {t1, t2, …, tt}⊆X = ⋃xXI(x) and there exist different K1, K2, …, Kt such that for all i ∈ {1,2, …, t},   tiKi. Since yX, I(x)∩I(y) = for all xX. Based on {I(x1), I(x2), …, I(xs)} forms a partition of E, there exists KI(y) such that K1, K2, …, Kt,   K are different blocks and yK, thus T ∪ {y} is a maximal independent set included in X ∪ {y}. Hence, we have rM(𝒞)(X ∪ {y}) = rM(𝒞)(X) + 1 which contradicts rM(𝒞)(X) = rM(𝒞)(X ∪ {y}). Thus we can obtain clM(𝒞)(X) = X.

The following proposition illustrates that in what condition the indiscernible neighborhoods are included in the geometric lattice induced by 𝒞.

Proposition 5.2. Let 𝒞 be a covering of E. If SH induced by 𝒞 is a closure operator, then for all xE,   I(x) ∈ (M(𝒞)).

Proof. Since SH induced by 𝒞 is a closure operator, {I(x)  : xE} forms a partition of E. Thus, for all xE, SH(I(x)) = ⋃yI(x)I(y) = I(x), that is, I(x) ∈ SH(M(𝒞)). According to Proposition 5.1, I(x) ∈ (M(𝒞)).

We give an example to help understand the relationship between SH(M(𝒞)) and (M(𝒞)) better.

Example 5.3. Let 𝒞 = {{1,2}, {1,3}, {2,3}, {4,5}}. I(1) = I(2) = I(3) = {1,2, 3}, I(4) = I(5) = {4,5}. Let T = {1,2}. T(𝒞) but TSH(𝒞) because |TI(1)| = 2. Hence, (𝒞)  ⊈  SH(𝒞). SH(M(𝒞)) = {, {1,2, 3}, {4,5}, {1,2, 3,4, 5}}. (M(𝒞)) = {, {1}, {2}, {3}, {4,5}, {1,2}, {1,3}, {2,3}, {1,4, 5}, {2,4, 5}, {3,4, 5}, {1,2, 3}, {1,2, 4,5}, {1,3, 4,5}, {2,3, 4,5}, {1,2, 3,4, 5}}. It is obvious that (M(𝒞))  ⊈  SH(M(𝒞)). The structures of SH(M(𝒞)) and (M(𝒞)) are showed in Figure 1.

Details are in the caption following the image
The lattice of (M(𝒞)) (resp., XH(M(𝒞))) and SH(M(𝒞)).

Remark 5.4. Let 𝒞 be a covering of E. Although XH induced by 𝒞 is a closure operator, it has no relationship between XH(𝒞) and (𝒞), and has no relationship between XH(M(𝒞)) and (M(𝒞)).

The following example illustrates the above statements.

Example 5.5. Let 𝒞 = {K1, K2, K3, K4} be a covering of E = {a, b, c, d, e, f, g, h, i}, where K1 = {a, b, i}, K2 = {a, b, c, d, e, f}, K3 = {f, g, h}, K4 = {c, d, e, g, h, i}. Then N(a) = N(b) = {a, b}, N(c) = N(d) = N(e) = {c, d, e}, N(f) = {f}, N(g) = N(h) = {g, h} and N(i) = {i}. Let T = {a, c, f, g, i}. It is clear that TXH(𝒞), but T(𝒞) because |TK2 | = 2, thus XH(𝒞)  ⊈  (𝒞). Let T = {a, c, d}. It is clear that T(𝒞), but TXH because |TN(c)| = 2, thus (𝒞)  ⊈  XH(𝒞). Let X = {a, b, i}. XXH(M(𝒞)) for XH(X) = X. However, X(M(𝒞)) for clM(𝒞)(X) = {a, b, c, d, e, i}. Let X = {a}. X(M(𝒞)) for clM(𝒞)(X) = X. However, XXH(M(𝒞)) for XH(X) = {a, b} ≠ X.

The following proposition shows the relationship between SH(𝒞) and XH(𝒞), and the relationship between SH(M(𝒞)) and XH(M(𝒞)).

Proposition 5.6. Let 𝒞 be a covering of E. If XH and SH induced by 𝒞 are closure operators, then SH(𝒞)⊆XH(𝒞) and SH(M(𝒞))⊆XH(M(𝒞)).

Proof. If XH and SH induced by 𝒞 are closure operators, then {N(x)  : xE} and {I(x)  : xE} form a partition of E, respectively. For all xX, N(x) = ⋂xKK⊆⋃iKK = I(x), thus {N(x)  : xE} is finer than {I(x)  : xE}. Based on this, we can obtain SH(𝒞)⊆XH(𝒞).

For all XSH(M(𝒞)), X = SH(X) = ⋃xXI(x). Since xN(x)⊆I(x), X = ⋃xX {x}⊆⋃xXN(x)⊆⋃xXI(x) = X, thus, X = ⋃xXN(x), that is, XXH(M(𝒞)). Hence, SH(M(𝒞))⊆XH(M(𝒞)).

Example 5.7. From Example 5.3, we know N(1) = {1}, N(2) = {2}, N(3) = {3}, N(4) = N(5) = {4,5} and I(1) = I(2) = I(3) = {1,2, 3}, I(4) = I(5) = {4,5}. Let I = {1,2}. It is clear that IXH(M(𝒞)) but ISH(M(𝒞)) because |II(1)| = 2. Hence XH(M(𝒞))  ⊈  SH(M(𝒞)). SH(M(𝒞)) = {, {1,2, 3}, {4,5}, {1,2, 3,4, 5}} and XH(M(𝒞)) = {, {1}, {2}, {3}, {4,5}, {1,2}, {1,3}, {2,3}, {1,4, 5}, {2,4, 5}, {3,4, 5}, {1,2, 3}, {1,2, 4,5}, {1,3, 4,5}, {2,3, 4,5}, {1,2, 3,4, 5}}. It is obvious that XH(M(𝒞))  ⊈  SH(M(𝒞)). The structures of them are showed in Figure 1.

When a covering degenerates into a partition, we can obtain the following result.

Theorem 5.8. If 𝒞 is a partition of E, then SH(𝒞) = XH(𝒞) = (𝒞) and SH(M(𝒞)) = XH(M(𝒞)) = (M(𝒞)).

Proof. Since 𝒞 is a partition of E, I(x) = N(x) = K(xK) for all xE, and for all XE, SH(X) = XH(X) = R*(X). Thus SH(𝒞) = XH(𝒞) = (𝒞) and SH(M(𝒞)) = XH(M(𝒞)) = (M(𝒞)).

Next, we discuss the reducible element and immured element’s influence on matroidal structures and geometric lattice structures. First, we study the reducible element and immured element’s influence on (𝒞).

Theorem 5.9. Let be a family of subset of E and K. ( − {K})⊆().

Proof. For all I( − {K}), we may as well suppose I = {i1, i2, …, it} where i1, i2, …, itE. According to the definition of transversal matroid, there exist different blocks K1, K2, …, Kt satisfy KiK and ijKj for all 1 ≤ i, jt. Thus I().

The following example illustrates ()  ⊈  ( − {K}).

Example 5.10. Let = {K1, K2, K3} be a family of subset of E = {1,2, 3,4}, where K1 = {1,2}, K2 = {1,3}, K3 = {3}. () = 2E, ( − {K3}) = {, {1}, {2}, {3}, {1,3}, {1,2}{2,3}}. Hence, ()  ⊈  ( − {K}).

Let 𝒞 be a covering of E and = 𝒞. As we know, reducible elements and immured elements are members of 𝒞. Based on Theorem 5.9, it is not difficult for us to obtain the following four corollaries.

Corollary 5.11. Let 𝒞 be a covering of E and K𝒞. If K is reducible, then (𝒞 − {K})⊆(𝒞).

Corollary 5.12. Let 𝒞 be a covering of E. (reduct(𝒞))⊆(𝒞).

Corollary 5.13. Let 𝒞 be a covering of E and K𝒞. If K is an immured element, then (𝒞 − {K})⊆(𝒞).

Corollary 5.14. Let 𝒞 be a covering of E. (exclusion(𝒞))⊆(𝒞).

The following theorem shows the reducible element and immured element’s influence on geometric lattice structure (M(𝒞)).

Theorem 5.15. Let be a family of subset of E and for all K. (M( − {K}))⊆(M()).

Proof. First, we prove cl({x})⊆cl−{K}({x}) for all xE. For all y ∉ cl−{K}({x}), {x, y} ∈ −{K}. Thus y ∉ cl({x}) which implies cl({x})⊆cl−{K}({x}).

Second, we need to prove that any atom of (M( − {K})) is a closed set of (M()), that is, cl(cl−{K}({x})) = cl−{K}({x}). Since cl−{K}({x})⊆cl(cl−{K}({x}))⊆cl−{K}(cl−{K}({x})) = cl−{K}({x}), cl(cl−{K}({x})) = cl−{K}({x}).

Third, we need to prove (M( − {K}))⊆(M()). For all X(M( − {K})), because (M( − {K})) is a atomic lattice, thus X(M()).

The following example shows that (M())  ⊈  (M( − {K})), where K.

Example 5.16. Based on Example 5.10, we have (M()) = 2E and (M( − {K3})) = {, {1}, {2}, {3}, {1,2, 3}}. It is clear that (M())  ⊈  (M( − {K3})).

Similarly, when is equal to 𝒞, we can obtain the following four corollaries.

Corollary 5.17. Let 𝒞 be a covering of E and K𝒞. If K is reducible, then (M(𝒞 − {K}))⊆(M(𝒞)).

Corollary 5.18. Let 𝒞 be a covering of E. (M(reduct(𝒞)))⊆(M(𝒞)).

Corollary 5.19. Let 𝒞 be a covering of E and K𝒞. If K is an immured element, then (M(𝒞 − {K}))⊆(M(𝒞)).

Corollary 5.20. Let 𝒞 be a covering of E. (M(exclusion(𝒞)))⊆(M(𝒞)).

Let 𝒞 be a covering of E and SH induced by 𝒞 a closure operator. If a reducible element K of 𝒞 is removed from the covering 𝒞, then covering 𝒞 − {K} may not still be a covering which makes SH be a closure operator. Hence, we omit the discussion of the relationship between SH(𝒞) and SH(𝒞 − {K}).

Example 5.21. Let E = {1,2, 3} and 𝒞 = {K1, K2, K3} where K1 = {1,2}, K2 = {1,3}, K3 = {1,2, 3}. I(1) = I(2) = I(3) = {1,2, 3}, thus {I(x)  : xE} forms a partition of E. Hence, SH is a closure operator induced by 𝒞. It is clear that K3 is a reducible element, 𝒞 − {K3} = {K1, K2}. Then the indiscernible neighborhoods induced by 𝒞 − {K3} are I(1) = {1,2, 3}, I(2) = {1,2}, I(3) = {1,3}. we find that {I(x)  : xE} cannot form a partition of E. Hence, SH is not a closure operator induced by 𝒞 − {K3}.

The following theorem presents an immured element’s influence on SH(𝒞) and SH(M(𝒞)).

Theorem 5.22. Let 𝒞 be a covering of E and K an immured element of 𝒞. If SH induced by 𝒞 is a closure operator, then SH induced by covering 𝒞 − {K} is also a closure operator. Moreover, SH(𝒞) = SH(𝒞 − {K}) and SH(M(𝒞)) = SH(M(𝒞 − {K})).

Proof. It comes from Lemma 4.8 and Theorem 4.3.

As we know, if 𝒞 is a covering of E, K1 and K2 are two elements of 𝒞, and K1 is an immured element of 𝒞, then K2 is an immured element of 𝒞 if and only if K2 is an immured element of the covering 𝒞 − {K1}. Combining this with Theorem 5.22, we can obtain the following corollary.

Corollary 5.23. Let 𝒞 be a covering of E. If SH induced by 𝒞 is a closure operator, then SH induced by exclusion(𝒞) is also a closure operator. Moreover, SH(𝒞) = SH(exclusion(𝒞)) and SH(M(𝒞)) = SH(M(exclusion(𝒞))).

Now we consider the reducible element’s influence on XH(𝒞) and XH(M(𝒞)).

Theorem 5.24. Let 𝒞 be a covering of E and K be a reducible element. If XH induced by 𝒞 is a closure operator, then XH induced by covering 𝒞 − {K} is also a closure operator. Moreover, XH(𝒞) = XH(𝒞 − {K}) and XH(M(𝒞)) = XH(M(𝒞 − {K})).

Proof. Since XH induced by 𝒞 is a closure operator, {N(x) : xE} induced by 𝒞 forms a partition. Based on the definition of XH(𝒞) and Lemma 4.18, XH induced by 𝒞 − {K} is also a closure operator and XH(𝒞) = XH(𝒞 − {K}).

As we know, if 𝒞 is a covering of E, K𝒞, K is reducible in 𝒞 and K1𝒞 − {K}, then K1 is reducible in covering 𝒞 if and only if it is reducible in covering 𝒞 − {K}. Based on this and Theorem 5.24, we can obtain the following result.

Corollary 5.25. Let 𝒞 be a covering of E. If XH induced by 𝒞 is a closure operator, then XH induced by reduct(𝒞) is a closure operator. Moreover, XH(𝒞) = XH(reduct(𝒞)) and XH(M(𝒞)) = XH(M(reduct(𝒞))).

Let 𝒞 be a covering of E and XH induced by 𝒞 a closure operator. If an immured element K is removed from the covering 𝒞, then 𝒞 − {K} may not still be a covering which makes XH be a closure operator. So we omit the discussion of the relationship between XH(𝒞) and XH(𝒞 − {K}).

Example 5.26. Suppose K1 = {1}, K2 = {1,2}, K3 = {2,3}, K4 = {3}, K5 = {1,2, 3} and 𝒞1 = {K1, K2, K3, K4}. Then N(1) = {1}, N(2) = {2} and N(3) = {3}, thus {N(x) : xE} forms a partition of E. Hence, XH is a closure operator. It is clear that K1 is an immured element, and the neighborhoods induced by 𝒞 − {K1} are N(1) = {1,2}, N(2) = {2} and N(3) = {3}, thus {N(x) : xE} cannot form a partition of E. Hence, 𝒞 − {K1} is not a covering which makes XH be a closure operator.

6. Conclusions

This paper has studied the geometric lattice structures of covering based-rough sets through matroids. The important contribution of this paper is that we have established a geometric lattice structure of covering-based rough sets through the transversal matroid induced by a covering and have presented two geometric lattice structures of covering-based rough sets through two types of covering upper approximation operators. Moreover, we have discussed the relationship among the three geometric lattice structures. To study other properties of the geometric lattice structure induced by a covering and to study other geometric lattices from the viewpoint of other upper approximation operators are our future work.

Acknowledgments

This work is supported in part by the National Natural Science Foundation of China under Grant no. 61170128, the Natural Science Foundation of Fujian Province, China, under Grant nos. 2011J01374 and 2012J01294, and the Science and Technology Key Project of Fujian Province, China, under Grant no. 2012H0043.

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