Volume 2022, Issue 1 3580711
Research Article
Open Access

[Retracted] Certain Structure of Lagrange’s Theorem with the Application of Interval-Valued Intuitionistic Fuzzy Subgroups

Doha A. Kattan

Doha A. Kattan

Department of Mathematics, Faculty of Sciences and Arts, King Abdulaziz University, Rabigh, P.O. Box 80203, Jeddah 21589, Saudi Arabia kau.edu.sa

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Maria Amin

Maria Amin

Department of Mathematics, COMSATS University Islamabad, Vehari Campus, Islamabad, Pakistan comsats.edu.pk

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Abdul Bariq

Corresponding Author

Abdul Bariq

Department of Mathematics, Laghman University, Mehterlam 2701, Laghman, Afghanistan

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First published: 24 February 2022
Citations: 6
Academic Editor: Hanan A. Al-Olayan

Abstract

This paper presents the concept of an interval-valued intuitionistic fuzzy subgroup defined on interval-valued intuitionistic fuzzy sets. We study some of the fundamental algebraic properties of interval-valued intuitionistic fuzzy cosets and interval-valued intuitionistic fuzzy normal subgroup of a given group. This idea is used to describe the interval-valued intuitionistic fuzzy order and index of interval-valued intuitionistic fuzzy subgroup. We have created numerous algebraic properties of interval-valued intuitionistic fuzzy order of an element. We also prove the interval-valued intuitionistic fuzzification of Lagrange’s theorem.

1. Introduction

The introduction of interval-valued intuitionistic fuzzy sets is based on the ideas of intuitionistic fuzzy sets and interval-valued fuzzy sets (IVIFSs). Zadeh [1] was the first to propose the concept of a fuzzy set in 1965. Rosenfeld [2] utilized this concept in 1971 to establish the concept of fuzzy groups. In the year 2000, Lee [3] described bipolar-valued fuzzy sets and their fundamental operations. In 2004, Lee [4] conducted a comparison of interval-valued fuzzy sets, IFSs, and bipolar fuzzy sets.

In 2009, Park et al. [5] investigated the IVIFS correlation coefficient and its application to multi-attribute group decision-making situations. In 2013, Chen and Li [6] used IVIFSs to evaluate students’ answer scripts. In 2013, Meng et al. [7] used an interval-valued intuitionistic fuzzy Choquet integral with respect to a generalized Shapley index to address the multi-criteria group decision-making problem. In 2013, Ye [8] used intuitionistic fuzzy setting and interval-valued intuitionistic fuzzy setting to construct multi-attribute group decision-making procedures with unknown weights. In 2013, Zhang et al. [9] proposed an interval-valued intuitionistic fuzzy multi-attribute group decision-making method based on correlation coefficients. In 2014, Chen [10] presented using IVIFSs a prioritized aggregation operator-based approach to multi-criteria decision making. In 2014, Jin et al. [11] developed an interval-valued intuitionistic fuzzy continuous weighted entropy and used it to multi-criteria fuzzy group decision making. In 2014, Li [12] used interval-valued intuitionistic fuzzy information to solve decision-making difficulties in company financial performance assessment.

In 2014, Liu et al. [13] published a multi-attribute large-group decision-making method based on an interval-valued intuitionistic fuzzy principal component analysis model. In 2015, Chen and Chiou [14] published a multi-attribute decision-making method using IVIFSs. In 2015, Gupta et al. [15] developed a mixed solution technique for multi-criteria group decision making in an interval-valued intuitionistic fuzzy environment employing entropy/cross entropy. In 2015, Liu et al. [16] extended the Einstein aggregation procedures based on interval-valued intuitionistic fuzzy numbers and proved their use in group decision making.

In 2017, Chen and Huang [17] used interval-valued intuitionistic fuzzy values and linear programming to examine the multi-attribute decision-making problem. In 2017, Xian et al. [18] used IVIFSs and a weighted averaging operator to make group decisions. Shuaib et al. [19] characterized on r-interval-valued intuitionistic fuzzification of Lagrange’s theorem of r-intuitionistic fuzzy subgroups in 2017. Mu et al. [20] developed the concept of interval-valued intuitionistic fuzzy Zhengyuan aggregation operators and its application to multi-attribute decision-making problems in 2018. In 2018, Zhang [21] proposed the geometric Bonferroni means of interval-valued intuitionistic fuzzy numbers and their use in multi-attribute group decision making. In 2018, Khan and Abdullah [22] defined an interval-valued Pythagorean fuzzy grey relational analysis approach for multi-attribute decision making with incomplete weight information for multi-attribute decision making with missing weight information. In 2018, Xu [23] proposed a consensus model for interval-valued intuitionistic multi-attribute group decision making with few changes. In 2018, Gupta et al. [24] introduced the notion of multi-attribute group decision making in an interval-valued intuitionistic fuzzy environment using an extended TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) technique. In 2018, Qin et al. [25] proposed a novel technique based on ordered weighted averaging distance operators for interval-value intuitionistic fuzzy multi-criteria decision making with immediate probability. The VIKOR technique for industrial robot selection was presented by Narayanamoorthy et al. [26]. It is based on an interval-valued intuitionistic hesitant fuzzy entropy. Alolaiyan et al. [27] proposed the concept of t-intuitionistic fuzzification of Lagrange’s theorem of t-intuitionistic fuzzy subgroups in 2019. Hosinzadeh et al. [28] proposed an artificial intelligence-based prediction way to describe the flow of a Newtonian liquid/gas on a permeable flat surface in 2021. Ghasemi et al. [29] proposed a dual-phase-lag (DPL) transient non-Fourier heat transfer analysis of functional graded cylindrical material under axial heat flux.

This paper is organized as follows. Section 2 contains basic definitions of interval-valued intuitionistic fuzzy order of an element of interval-valued intuitionistic fuzzy subgroup and the related result which are very useful to build up the consequent investigation of this paper. We construct the algebraic properties of interval-valued intuitionistic fuzzy order of an element of interval-valued intuitionistic fuzzy subgroup of a finite cyclic group in Section 3. In Section 4, we extend the study of this notion to introduce interval-valued intuitionistic left cosets and index of interval-valued intuitionistic fuzzy subgroups. Moreover, we develop Lagrange’s theorem by using the notion of interval-valued fuzzy information and establish some key fundamental algebraic aspects.

2. Interval-Valued Intuitionistic Fuzzy Order of an Element of Interval-Valued Intuitionistic Fuzzy Subgroup

This section reviews some fundamental concept of IVIFSs and interval-valued intuitionistic fuzzy subgroup along with the relevant results.

Definition 1. Let X be non-empty set. An interval-valued fuzzy set M defined on X is given by = {(m, [ML, MU]),  ∀ mX}, where ML and MU are two fuzzy sets of X such that MLMU, for all mX.

On the other hand, an interval-valued fuzzy set (IVFS) of X is specified as MX : X⟶Int([0,1]), where Int([0,1]) is the set of all intervals within [0,1], and is expressed as M = [ML, MU] such that MLMU.

Definition 2. Let K be an ordinary set. Then, P : K⟶[0,1] × [0,1] is designed by P = {(m, MP(m), NP(m))|mK}, where MP : K⟶Int[0,1] is designed by , where and , where and SupMP(m) + SupNP(m) ≤ 1.

Definition 3. An IVIFSP of group is known as an IVIFSG of group if it satisfies the following axioms: and .

Theorem 1. Let P an of a group and ; then, and for all if and only if and .

Proof. Assume that and for all . By replacing n by e, we have the required result.

Conversely, if . Since P is , and for all . Now , .

We have

(1)

But , , and this shows that

(2)

From (1) and (2), we have , .

Similarly, we can show that .

Definition 4. Let P be an of a group and m1 be an element of the group. The interval-valued intuitionistic fuzzy right coset of of is defined as

(3)

Definition 5. An P is known as an of group , if , and , for all .

Definition 6. Consider an P of a group , which is finite and . Then, the interval-valued intuitionistic fuzzy order (IVIFO) of m is named as IVIFOP(m) and is defined as

IVIFOP(m) = |Q(m)|, where

(4)

The algebraic information can be observed in the following example.

Example 1. Let be a symmetric group of order 6. Then, an of is defined as

(5)

Clearly, IVIFOP(e) = IVIFOP(a) = 3, IVIFOP(a2) = 3, IVIFOP(b) = IVIFOP(ab) = IVIFOP(a2b) = 6.

Theorem 2. Q(m) forms a subgroup of .

Proof. As mQ(m), Q(m) is a non-empty set. By Definition 6, for arbitrary two elements r, qQ(m), we have

Since P is an , , and which implies that . Thus, rq−1Q(m). Consequently, Q(m) is a subgroup of .

Corollary 1. Assume that there exists an of a group ; then, the IVIFO of any element of P divides ’s order.

Proof. By Theorem 2 and Lagrange’s theorem, anyone can show that the IVIFO of any element of always divides group ’s order.

Theorem 3. Let P be an of a group and . Then, IVIFOP(e) ≤ IVIFOP(m).

Proof. Let rQ(m); then, . This means that , and , for all . Thus, rQ(m). Consequently, Q(e)⊆Q(m) and IVIFOP(e) ≤ IVIFOP(m).

The next result produces a relation between the IVIFO of any element of P and the order of that element in .

Theorem 4. Let P be an of a group and ; then, O(m) divides IVIFOP(m).

Proof. Assume that O(m) = l and consider a subgroup K = <m : ml = e> of . In view of Definition 6, we have m2Q(m), and similarly, we can have m3, m4, m5, …, mlQ(m). This indicates that KQ(m). Consequently, K forms subgroup of Q(m) and |K| divides |Q(m)|. This means that |K| divides IVIFOP(m), andt therefore O(m) divides IVIFOP(m).

Definition 7. The IVIFO of of is denoted by IVIFO(P) and can be obtained by computing the greatest common divisor of the IVIFO of all elements of P.

Example 2. Let be a symmetric group of order 6. An of is defined as

(6)

Clearly, IVIFOP(e) = 1, IVIFOP(a) = 3, IVIFOP(a2) = 3, IVIFOP(b) = IVIFOP(ab) = IVIFOP(a2b) = 6.

The IVIFO of P in is 1.

In the following result, we prove the condition that .

Theorem 5. Let P an of a group and ; then, where l is an integer.

Proof. This result is clear for l = 0 and 1. For l = 2,

(7)

Assume the statement is true for n < l.

Now,

(8)
which completes the induction.

If l < 0, then

(9)

Similarly, .

Therefore, we can easily prove , for any integer l.

Remark 1. If (O(m), l) = 1, then , for any integer l.

Theorem 6. Let IVIFOP(m) = r and (r, s) = 1,  r, sZ and . Then, .

Proof. We are aware that if (r, s) = 1, then ar + bs = 1, for a, bZ. So,

(10)

But .

Consequently, .

Similarly, we can easily prove for the lower case.

Therefore, we can prove .

Theorem 7. Let r, sZ such that , , for all . Then, both r and s divide IVIFOP(m).

Proof. Let m be a non-identity element and IVIFOP(m) = x. Suppose s does not divide x; then, (s, x) = 1.

By Theorem 6, we have . But , , so m = e.

As such, it is a contradiction, and thus s divides IVIFOP(m).

Similarly, we can easily prove r divides IVIFOP(m).

Theorem 8. If IVIFOP(m) = r, then IVIFOP(ms) = IVIFOP(m)/(r, s) for some integer s.

Proof. Suppose that IVIFOP(ms) = y.

Consider

(11)

Similarly, we can easily prove for the lower case.

Therefore, . We can also prove for the lower limit.

By Theorem 7, we have that r/d divides y.

Moreover, since (r, s) = d, ar + bs = d, for some a, bZ. Now,

(12)

We know that and hence

Similarly, we can easily prove for the lower case.

Therefore, . By applying Theorem 7, we get y  d/r.

Consequently, y = r/d.

Theorem 9. Let P be an of a group and ; then, IVIFOP(m−1) = IVIFOP(m).

Proof. Since P is of , and , for all . This means that Q(m) = Q(m−1); as such, |Q(m)| = |Q(m−1)|. In addition, we know that IVIFOP(a) = |Q(a)|, for all a. Therefore, IVIFOP(m−1) = IVIFOP(m).

In the following theorem, we illustrate another form of IVIFO of elements of .

Theorem 10. Let P be an of a group and be any fixed element; then, IVIFOP(mnm−1) = IVIFOP(n) for all .

Proof. By Definition 5, we have , and . So, Q(n) = Q(mnm−1).

Consequently, IVIFOP(mnm−1) = IVIFOP(n).

Theorem 11. Let P be an of a group ; then, IVIFOP(mn) = IVIFOP(nm), for all .

Proof. Since IVIFOP(mn) = IVIFOP(n−1n)(mn) = IVIFOP(n−1(nm)n), by Theorem 10, IVIFOP(n−1(nm)n) = IVIFOP(nm).

So, we have IVIFOP(mn) = IVIFOP(nm).

Theorem 12. Let IVIFOP(m) = x, for all . If ij(modx), where i, jZ, then IVIFOP(mi) = IVIFOP(mj).

Proof. Assume that IVIFOP(mi) = s and IVIFOP(mj) = r. Since i = j + qx for some qZ,

(13)

As such, s/r. Similarly, we can prove and r/s. Hence, IVIFOP(mi) = IVIFOP(mj).

Theorem 13. Assume that for all . Then, P(m) = P(n) = P(e).

Proof. Proof. Suppose that IVIFOP(m) = x and IVIFOP(n) = y. By Theorem 5, we have . By Theorem 7, we have .

Similarly, we can easily prove for the non-membership function.

Theorem 14. If (IVIFOP(m), IVIFOP(n)) = 1 and mn = nm for all , then IVIFOP(mn) = [IVIFOP(m)] × [IVIFOP(n)].

Proof. Proof. Suppose IVIFOP(mn) = z, IVIFOP(m) = x and IVIFOP(n) = y. Now consider

(14)

We know that

(15)

From (14) and (15), we have .

Similarly, .

Likewise, .

By Theorem 7, we have the relation

(16)

Since (x, y) = 1, x/z or y/z.

Assume that x/z; then,

(17)

By using Theorem 7,

(18)

By equations (17) and (18), we have (IVIFOP(mz), IVIFOP(nz)) = 1.

From Theorem 13 and equations (17) and (18), we have P(m) = P(n) = P(e). This means that

(19)

From (16) and (19), we get the result.

Remark 2. Let P and Q be any two of group . If PQ and P(e) = Q(e), then IVIFOP(m)/IVIFOQ(m) for all .

Theorem 15. If P and Q are any two of a group such that PQ and P(e) = Q(e), then IVIFOP(m)/IVIFOQ(m).

Proof. As IVIFO(P) and IVIFO(Q) are finite, the IVIFO of every element of P and Q is finite. Let M and N be the sets consisting of IVIFO s of elements in P and Q, respectively. Remark 2 gives that IVIFOP(m) divides IVIFOQ(m) for all . Then, gcd of every elements of M divides the gcd of every elements of N. As a result, IVIFOP(m)/IVIFOQ(m).

3. Properties of IVIFO of Elements in IVIFSG in a Finite Cyclic Group

This section examines the IVIFO of elements of in cyclic groups and their elementary properties.

Lemma 1. Assume that there exists an of a cyclic group and m, n are any two generators of ; then, IVIFOP(m) = IVIFOP(n).

Proof. Assume that . Since m and n are two generators of , mr = nr = e.

Since for some sZ we have n = ms, (r, s) = 1. Next, by Theorem 6, IVIFOP(m) = IVIFOP(n) = IVIFOP(ms).

Theorem 16. Let P be an on a finite cyclic group . The following results hold for all .

  • (1)

    If O(m) = O(n), then IVIFOP(m) = IVIFOP(n).

  • (2)

    If O(m) divides O(n), then IVIFOP(m) divides IVIFOP(n).

Proof. Let x be a generator of ; then, m = xr, n = xs and IVIFOP(x) = u where r, s, uZ. We have O(m) = n/(n, r) and O(n) = n/(n, s). In view of Theorem 8, we have IVIFOP(m) = u/(u, r) and IVIFOP(n) = u/(u, s). From Theorem 3, we have n/u.

  • (1)

    Since O(m) = O(n), then O(xr) = O(xs). This shows that (r, n) = (s, n). From the above relation, we have (r, u) = (s, u). Consequently, IVIFOP(m) = IVIFOP(n).

  • (2)

    Since O(m) divides O(n), (s, n)/(r, n). This implies that (s, u)/(r, u) In addition, as n/u, IVIFOP(m) divides IVIFOP(n).

Corollary 2. Let P be an of a finite cyclic group of order q. If IVIFOP(n) = IVIFOP(m), then P(m) = P(n) for all .

Corollary 3. Let P an of a group of order q. If IVIFOP(n) divides IVIFOP(m), then .

Theorem 17. Let P be an of a group and K = <x> be a cyclic subgroup of . For all m, nK, if O(m) divides O(n), then .

Proof. Suppose O(m) = r and O(n) = qr for some qN. Let m = xu and n = xv for some u, vN. It follows that xur = e = xvqr. Thus, m = nq. As such, . Similarly, we can prove for the lower limit of a non-membership function.

Likewise, .

In the following example, we show that Theorem 17 is not valid for all .

Example 3. Let be a group of order 6. Then, and of is defined as

(20)

We know that O(4) = 3 and O(1) = 6 in .

Clearly, O(4) divides O(1), but .

4. Interval-Valued Intuitionistic Fuzzification of Lagrange’s Theorem

This part recapitulates the concept pertaining to the index of . In addition, interval-valued intuitionistic fuzzification of Lagrange’s theorem of is studied.

Theorem 18. Assume that there exists an of a group and ϖ is the set of all interval-valued intuitionistic fuzzy left cosets (IVIFLC) of by P. Then, ϖ forms a group with

(21)

Define a mapping P : ϖ⟶[0,1] by

(22)

Then, P is an of ϖ.

Proof. Let such that

(23)

Then, we must show that

(24)

By Definition 4,

(25)

Now,

(26)

Using Definition 4 in (23) gives

(27)
and
(28)

Now, replace u by monon−1 in (27), and we have

(29)

Substitute u with no in (28), and we have

(30)

But . Since P is , and for all . Thus, (26) now yields

(31)

Similarly, .

This shows that .

Consequently, for all .

The lower case can be proved in the same way.

Similarly, we can show that

(32)

This shows that this is a well-defined composition.

We can view that the inverse of mP is m−1P, for .

Hence, ϖ is a group.

Now, let P(mP), P(nP) ∈ P where mP, nPϖ.

Consider

(33)

Similarly, the lower case can be established.

As such,

(34)

Moreover,

(35)

The lower case can be proved in the same way.

Similarly, .

This shows that P is a of ϖ.

Definition 8. Assume that there exists an of a finite group ; define a mapping P : ϖ⟶[0,1] by

P(mP) = P(m), for all , which is called an interval-valued intuitionistic fuzzy quotient group.

Theorem 19. Let P be an . Then, establish a homomorphism t from to ϖ defined by t(m) = mP for all with kernel .

Proof. Let . Then,

(36)
which indicates that t is a natural homomorphism.

Moreover,

(37)

In view of Definition 4, we have

(38)

Using Theorem 2 in the above relation yields .

Consequently,

(39)

Remark 3. Note that |Ker.t| = IVIFO(P).

Definition 9. Let P be an of finite group . Then, |ϖ| is called the index of and is denoted by .

Theorem 20 (interval-valued intuitionistic fuzzification of Lagrange’s theorem). If P is an of a finite group , then the index of of divides the order of .

Proof. By Theorem 19, we have a homomorphism t from to ϖ, where .

As is finite, it is trivial that ϖ is also finite.

Define

(40)

By Theorem 19, we have .

Now we partition group into disjoint union of cosets.

Consider

(41)
where . Now we prove that for each coset in relation (41), there exists an IVIF coset in ϖ; also, its corresponding counterpart is injective. Take a coset . Let ; then,
(42)

Thus, ϖ maps every element of into the interval-valued intuitionistic fuzzy coset mjP.

Now, we give a relation ƫ between set and set ϖ by

(43)

The correspondence ƫ is injective.

For this, let miP = mlP; then, .

By using (40), we have ; this means that , and hence ƫ is injective.

It is clear from the above discussion that are equal, since divides .

Corollary 4. Assume that there exists an of a finite group ; then, IVIFO(P) divides the order of .

The index of of a finite group can be obtained from the following relation.

Remark 4. .

The algebraic information can be observed in the following examples.

Example 4. Let be a group of order 6. The of is defined as

(44)

The set of all interval-valued intuitionistic fuzzy left cosets of is given by

(45)

This means that .

Example 5. Let be a cyclic group of order 4. The of is defined as

(46)

The set of all interval-valued intuitionistic fuzzy left cosets of is given by

(47)

This means that .

5. Conclusion

In this article, we have fostered the idea of IVIFO of an element and have demonstrated the basic algebraic characteristic of these phenomena. Besides, we have created numerous algebraic properties of interval-valued intuitionistic fuzzy order of an element and have presented the interval-valued intuitionistic fuzzification of Lagrange theorems.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this article.

Acknowledgments

This study was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, Saudi Arabia. The authors, therefore, acknowledge with thanks the DSR for technical and financial support.

    Data Availability

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