Double-Framed Soft Sets with Applications in BCK/BCI-Algebras
Abstract
In order to lay a foundation for providing a soft algebraic tool in considering many problems that contain uncertainties, the notion of double-framed soft sets is introduced, and applications in BCK/BCI-algebras are discussed. The notions of double-framed soft algebras in BCK/BCI-algebras are introduced, and related properties are investigated. Characterizations of double-framed soft algebras are considered. Product and int-uni structure of double-framed soft algebras are discussed, and several examples are provided.
1. Introduction
The real world is inherently uncertain, imprecise, and vague. Various problems in system identification involve characteristics which are essentially nonprobabilistic in nature [1]. In response to this situation, Zadeh [2] introduced fuzzy set theory as an alternative to probability theory. Uncertainty is an attribute of information. In order to suggest a more general framework, the approach to uncertainty is outlined by Zadeh [3]. To solve a complicated problem in economics, engineering, and environment, we cannot successfully use classical methods because of various uncertainties typical for those problems. There are three theories: theory of probability, theory of fuzzy sets, and the interval mathematics which we can consider as mathematical tools for dealing with uncertainties. But all these theories have their own difficulties. Uncertainties cannot be handled using traditional mathematical tools but may be dealt with using a wide range of existing theories such as probability theory, theory of (intuitionistic) fuzzy sets, theory of vague sets, theory of interval mathematics, and theory of rough sets. However, all of these theories have their own difficulties which are pointed out in [4]. Maji et al. [5] and Molodtsov [4] suggested that one reason for these difficulties may be due to the inadequacy of the parametrization tool of the theory. To overcome these difficulties, Molodtsov [4] introduced the concept of soft set as a new mathematical tool for dealing with uncertainties that is free from the difficulties that have troubled the usual theoretical approaches. Molodtsov pointed out several directions for the applications of soft sets. Worldwide, there has been a rapid growth in interest in soft set theory and its applications in recent years. Evidence of this can be found in the increasing number of high-quality articles on soft sets and related topics that have been published in a variety of international journals, symposia, workshops, and international conferences in recent years. Maji et al. [5] described the application of soft set theory to a decision-making problem. Maji et al. [6] also studied several operations on the theory of soft sets. Aktaş and Çağman [7] studied the basic concepts of soft set theory and compared soft sets to fuzzy and rough sets, providing examples to clarify their differences. They also discussed the notion of soft groups. Jun and Park [8] studied applications of soft sets in ideal theory of BCK/BCI-algebras. Jun et al. [9, 10] introduced the notion of intersectional soft sets and considered its applications to BCK/BCI-algebras. Also, Jun [11] discussed the union soft sets with applications in BCK/BCI-algebras. We refer the reader to the papers [12–24] for further information regarding algebraic structures/properties of soft set theory.
The aim of this paper is to lay a foundation for providing a soft algebraic tool in considering many problems that contain uncertainties. To do this, we introduce the notion of double-framed soft sets and apply it to BCK/BCI-algebras. We discuss double-framed soft algebras in BCK/BCI-algebras and investigate related properties. We consider characterizations of double-framed soft algebras and deal with the product and int-uni structure of double-framed soft algebras. We provide several examples.
2. Preliminaries
A BCK/BCI-algebra is an important class of logical algebras introduced by K. Iséki and was extensively investigated by several researchers.
- (i)
(∀x, y, z ∈ X)(((x*y)*(x*z))*(z*y) = 0),
- (ii)
(∀x, y ∈ X)((x*(x*y))*y = 0),
- (iii)
(∀x ∈ X)(x*x = 0),
- (iv)
(∀x, y ∈ X)(x*y = 0, y*x = 0⇒x = y).
- (v)
(∀x ∈ X)(0*x = 0),
A nonempty subset S of a BCK/BCI-algebra X is called a subalgebra of X if x*y ∈ S for all x, y ∈ S.
We refer the reader to the books [25, 26] for further information regarding BCK/BCI-algebras.
Molodtsov [4] defined the soft set in the following way: let U be an initial universe set, and let E be a set of parameters. Let 𝒫(U) denote the power set of U and A, B, C, …⊆E.
Definition 2.1 (see [4].)A pair (α, A) is called a soft set over U, where α is a mapping given by
In other words, a soft set over U is a parameterized family of subsets of the universe U. For ε ∈ A, α(ε) may be considered as the set of ε-approximate elements of the soft set (α, A). Clearly, a soft set is not a set. For illustration, Molodtsov considered several examples in [4].
3. Double-Framed Soft Algebras
In what follows, we take E = X as a set of parameters, which is a BCK/BCI-algebra and A, B, C, … as subalgebras of E unless otherwise specified.
Definition 3.1. A double-framed pair 〈(α, β); A〉 is called a double-framed soft set over U, where α and β are mappings from A to 𝒫(U).
Definition 3.2. A double-framed soft set 〈(α, β); A〉 over U is called a double-framed soft algebra over U if it satisfies
Example 3.3. Suppose that there are five houses in the initial universe set U given by
-
e0 stands for the parameter “beautiful,”
-
e1 stands for the parameter “cheap,”
-
e2 stands for the parameter “in good location,”
-
e3 stands for the parameter “in green surroundings,”
Example 3.4. Consider the initial universe set U = {h1, h2, h3, h4, h5} and a set of parameters E = {e0, e1, e2, e3} which are given in Example 3.3. Define a binary operation * on E by the following Cayley table:
Example 3.5. There are six women patients in the initial universe set U given by
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e0 stands for the parameter “chest pain,”
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e1 stands for the parameter “headache,”
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e2 stands for the parameter “mental depression,”
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e3 stands for the parameter “migraine,”
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e4 stands for the parameter “neurosis,”
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e5 stands for the parameter “omodynia,”
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e6 stands for the parameter “period pains,”
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e7 stands for the parameter “toothache,”
Lemma 3.6. Every double-framed soft algebra 〈(α, β); A〉 over U satisfies the following condition:
Proof. It is straightforward.
Proposition 3.7. For a double-framed soft algebra 〈(α, β); A〉 over U, the following are equivalent:
- (1)
(∀x ∈ A)(α(x) = α(0), β(x) = β(0)),
- (2)
(∀x, y ∈ A)(α(y)⊆α(x*y), β(y)⊇β(x*y)).
Proof. Assume that (2) is valid. Taking y = 0 and using (2.1), we have α(0)⊆α(x*0) = α(x) and β(0)⊇β(x*0) = β(x). It follows from Lemma 3.6 that α(x) = α(0) and β(x) = β(0).
Conversely, suppose that α(x) = α(0) and β(x) = β(0) for all x ∈ A. Using (3.1), we have
Proposition 3.8. In a BCI-algebra X, every double-framed soft algebra 〈(α, β); A〉 over U satisfies the following condition:
Proof. Using Lemma 3.6, we have
- (i)
A⊆B,
- (ii)
.
Theorem 3.9. Let 〈(α, β); A〉 be a double-framed soft subset of a double-framed soft set 〈(f, g); B〉. If 〈(f, g); B〉 is a double-framed soft algebra over U, then so is 〈(α, β); A〉.
Proof. Let x, y ∈ A. Then x, y ∈ B, and so
The converse of Theorem 3.9 is not true as seen in the following example.
Example 3.10. Suppose that there are six houses in the initial universe set U given by
-
e0 stands for the parameter “beautiful,”
-
e1 stands for the parameter “cheap,”
-
e2 stands for the parameter “in good location,”
-
e3 stands for the parameter “in green surroundings,”
-
e4 stands for the parameter “luxury,”
Theorem 3.11. The double-framed soft int-uni set of two double-framed soft algebras 〈(α, β); A〉 and 〈(f, g); A〉 over U is a double-framed soft algebra over U.
Proof. For any x, y ∈ A, we have
Theorem 3.12. For a double-framed soft set 〈(α, β); E〉 over U, the following are equivalent:
- (1)
〈(α, β); E〉 is a double-framed soft algebra over U,
- (2)
for every subsets γ and δ of U with γ ∈ Im (α) and δ ∈ Im (β), the γ-inclusive set and the δ-exclusive set of 〈(α, β); E〉 are subalgebras of E.
Proof. Assume that 〈(α, β); E〉 is a double-framed soft algebra over U. Let x, y ∈ E be such that x, y ∈ iE(α; γ) and x, y ∈ eE(β; δ) for every subsets γ and δ of U with γ ∈ Im (α) and δ ∈ Im (β). It follows from (3.1) that
Conversely suppose that (2) is valid. Let x, y ∈ E be such that α(x) = γx, α(y) = γy, β(x) = δx and β(y) = δy. Taking γ = γx∩γy and δ = δx ∪ δy implies that x, y ∈ iE(α; γ) and x, y ∈ eE(β; δ). Hence, x*y ∈ iE(α; γ) and x*y ∈ eE(β; δ), which imply that
Corollary 3.13. If 〈(α, β); E〉 is a double-framed soft algebra over U, then the double-framed including set of 〈(α, β); E〉 is a subalgebra X.
Theorem 3.14. If 〈(α, β); E〉 is a double-framed soft algebra over U, then so is 〈(α*, β*); E〉.
Proof. Assume that 〈(α, β); E〉 is a double-framed soft algebra over U. Then iE(α; γ) and eE(β; δ) are subalgebras of E for every subsets γ and δ of U with γ ∈ Im (α) and δ ∈ Im (β). Let x, y ∈ E. If x, y ∈ iE(α; γ), then x*y ∈ iE(α; γ). Thus,
The following example shows that the converse of Theorem 3.14 is not true in general.
Example 3.15. Suppose that there are ten houses in the initial universe set U given by
-
e0 stands for the parameter “beautiful,”
-
e1 stands for the parameter “cheap,”
-
e2 stands for the parameter “in good location,”
-
e3 stands for the parameter “in green surroundings,”
Let 〈(α, β); A〉 and 〈(α, β); B〉 be double-framed soft sets over U. The (α∧, β∨)-product of 〈(α, β); A〉 and 〈(α, β); B〉 is defined to be a double-framed soft set 〈(αA∧B, βA∨B); A × B〉 over U in which
Theorem 3.16. For any BCK/BCI-algebras E and F as sets of parameters, let 〈(α, β); E〉 and 〈(α, β); F〉 be double-framed soft algebras over U. Then the (α∧, β∨)-product of 〈(α, β); E〉 and 〈(α, β); F〉 is also a double-framed soft algebra over U.
Proof. Note that (E × F, ⊛, (0,0)) is a BCK/BCI-algebra. For any (x, y), (a, b) ∈ E × F, we have
Theorem 3.16 is illustrated from the following example.
Example 3.17. Consider the initial universe set U given by
-
e0 stands for the parameter “chest pain,”
-
e1 stands for the parameter “headache,”
-
e2 stands for the parameter “mental depression,”
-
e3 stands for the parameter “migraine,”
-
e4 stands for the parameter “neurosis.”
4. Conclusion
- (1)
Every double-framed soft subset of a double-framed soft algebra is also a double-framed soft algebra.
- (2)
The double-framed soft int-uni set of two double-framed soft algebras is a double-framed soft algebra.
- (3)
The (α∧, β∨)-product of double-framed soft algebras 〈(α, β); E〉 and 〈(α, β); F〉 is also a double-framed soft algebra.
Given a double-framed soft algebra, we have made a new double-framed soft algebra. We have provided an example which shows that the new constructed double-framed soft set is a double-framed soft algebra, but the given double-framed soft set is not a double-framed soft algebra.
Future research will focus on applying the idea/result in this paper to the ideal theory of BCK/BCI-algebras and related algebraic structures.
Acknowledgment
The authors wish to thank the anonymous reviewers for their valuable suggestions.