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. 2023 Sep 9;9(9):e19822. doi: 10.1016/j.heliyon.2023.e19822

Application of t-intuitionistic fuzzy subgroup to Sylow theory

Laila Latif a, Umer Shuaib a,
PMCID: PMC10559215  PMID: 37810160

Abstract

In this paper, we define the notion of a t-intuitionistic fuzzy conjugate element and determine the t-intuitionistic fuzzy conjugacy classes of a t-intuitionistic fuzzy subgroup. We propose the idea of a t-intuitionistic fuzzy p subgroup and prove the t-intuitionistic fuzzy version of the Cauchy theorem. In addition, we present the idea of a t-intuitionistic fuzzy conjugate subgroup and investigate various fundamental algebraic characteristics of this notion. Furthermore, we provide the idea of the t-intuitionistic fuzzy Sylow p subgroup and prove the t-intuitionistic fuzzification of Sylow's theorems.

Keywords: t-Intuitionistic fuzzy subgroup (t-IFSG), t-Intuitionistic fuzzy conjugate element, t-Intuitionistic fuzzyp Subgroup, t-Intuitionistic fuzzy conjugate subgroup (t-IFCSG), t-Intuitionistic fuzzy Sylowp, Subgroup (tIFSylp)


Mathematics Subject Classification: 08A72, 20N25, 03E72.

1. Introduction

The Sylow theorems are an important part of finite group theory, and they have many important uses in classical group theory, especially when it comes to classifying the finite simple group. Sylow applied this theory in the framework of solving an algebraic equation and associated the roots of this equation to the solvability of its Galois group by radicals. One of the main advantages of these theorems is that they establish a partial converse of Lagrange's Theorem in the literature. Moreover, one can easily investigate the existence of a subgroup of certain orders utilizing this technique.

Fuzzy approaches have several advantages over crisp ones: the most important being that they have more flexible decision boundaries and are thus characterized by their higher ability to adjust to a specific domain of application and more accurately reflect its particularities. The importance of fuzzy logic derives from the fact that most modes of human reasoning, especially commonsense reasoning, are approximate in nature. The concept of an IFS is characterized by membership and non-membership functions as much efficient way to cope with uncertainty. The concept of IFS is very useful in providing a flexible model to elaborate on the uncertainty and vagueness involved in decision-making. It is a very useful tool for human consistency in reasoning under imperfectly defined facts and imprecise knowledge.

The concept of fuzzy set (FS) theory was introduced by Zadeh [1]. Rosenfeld [2] initiated the idea of a fuzzy subgroup(FSG) and established numerous essential characteristics of this phenomenon. In Ref. [3], Sunderrajan initiated the study of homomorphism and anti-homomorphism of L-fuzzy quotient ℓ-groups. Atanassov [4,5] proposed the study of IFS in 1986. In Ref. [6], Ejegwa et al. presented a concise overview of IFS. This theory has received a great deal of attention from researchers in the last two decades as it has been effectively applied in career determination [7,8], pattern recognition [9,10], medical diagnosis [11,12], expert systems [13,14], neural networks [15,16], decision making [17,18], machine learning [19,20], and semantic representations [21,22]. A useful approach was developed to study intuitionistic fuzzy soft rough sets based on decision-making in Refs. [23,24]. Biswas [25] proposed the idea of intuitionistic fuzzy subgroup (IFSG). In Ref. [26], Ahn et al. discussed various types of sublattices of the lattice of intuitionistic fuzzy subgroups. Sharma [27] proved many properties of IFSG. For more development on IFSG, we refer to Refs. [[28], [29], [30], [31], [32]]. In addition, the ideas of an intuitionistic fuzzy ring [33], an intuitionistic fuzzy ideal [34], an intuitionistic fuzzy normed ring [35], an intuitionistic fuzzy soft ring [36], and an intuitionistic fuzzy normal subring [37] were proposed. The theory of complex IFSG was proposed and developed by Husban et al. [38,39]. The theory of t-intuitionistic fuzzy subgroup(t-IFSG) was presented by Sharma in Ref. [40]. Moreover, a comprehensive development of the theory of t-IFSG can be viewed in Refs. [41,42]. In Ref. [43], Kattan et al. proved the interval-valued intuitionistic fuzzy version of Lagrange's theorem.

Real-world data can be challenging due to its imprecision, resulting from uncertainties, vagueness, or conflicting information. Although traditional approaches like as FS and IFS are often used in the management of imprecision. The t-IFS theory provides an additional parameterizing component, which makes it possible to express uncertain data in a more comprehensive manner. This parameter, which is denoted by the letter "t" is essential in defining the degree of imprecision that is taken into account during modeling. Analysts can more precisely depict imprecision by modulating the impact of inconsistent or vague information via "t" resulting in more reliable outcomes and decision-making. This adaptability is essential when dealing with varying degrees of imprecision. Consequently, t-IFS enhances the precision of managing imprecise data. In contrast to the theories of classical FS and IFS, it is an essential tool for addressing data imprecision by introducing a parameterizing factor during the process. It is a very useful technique as it provides a flexible model to counter the uncertainty and vagueness involved in making decisions.

The following discussion describes the motivations of this present study.

  • Introduce t-intuitionistic fuzzy conjugate elements and conjugacy classes (in Section 3). These phenomena help study t-IFSG structure and organization. Analyzing conjugate elements' patterns, connections, and symmetries may reveal a subgroup's structure. Classifying and characterizing t-IFSG is made easier using conjugate elements and their conjugacy classes. These tools help organize elements into subgroups based on their conjugacy, which can provide insight into common properties, patterns, and behaviors.

  • Introduce the notion of the t-intuitionistic fuzzy p-subgroup and prove the t-intuitionistic fuzzy version of the Cauchy theorem (in Section 4). They are critical for classifying finite groups. It assists researchers in determining the likely order of components inside a group, which may subsequently be used to organize the groupings based on their attributes. This categorization aids in the study of qualities by allowing for a better understanding of the similarities and differences between distinct groups.

  • Initiate the ideas of t-intuitionistic fuzzy conjugate subgroups and their classes (in Section 5). These concepts help classify and organize subgroups within a larger group. The study of groups is simplified when subgroups are divided into discrete classes based on shared qualities or characteristics. This categorization is used to establish significant theorems, such as Sylow's theorems, which reveal information about the structure of finite groups. These ideas are strongly related to normal subgroups.

  • Explore the idea of a t-intuitionistic fuzzy Sylow p subgroup and prove a t-intuitionistic fuzzy version of Sylow's theorems (in Section 6). To better understand how subgroups work within finite groups, we can use t-intuitionistic logic to fuzzify Sylow's theorem. These are helpful even when dealing with uncertainties and imprecisions in real-life situations. The t-intuitionistic fuzzy version of Sylow's theorem can be applied to practical problems involving uncertainty, vagueness, and imprecision in subgroup analysis. This framework can improve decision-making, data analysis, optimization, and social network analysis. It helps to understand better real-life scenarios that have uncertain group structures.

The remaining sections of the article are arranged in the following order: Section 1 presents the introduction and motivation; Section 2 contains some elementary definitions and results; and conclusion and future scopes are presented in Section 7.

2. Preliminaries

This section contains some basic definitions and results related to them, which are very important to recognize the modernity of this article.

Definition 1

[40] A t-intuitionistic fuzzy set (t-IFS) At of a universal set U is defined as:

At=a1,μAta1,νAta1:a1U,t0,1

where μAta1 and νAta1 are functions that assign degrees of membership and non-membership, respectively, to the element a1 in U. The functions μAta1 and νAta1 are defined based on an existing IFS A=μAa1,νAa1 on U. Specifically,

μAta1=min{μAa1,t}and νAta1=maxνAa1,1t.

The condition is true for each a1 in U, 0μAta1+νAta11.

Definition 2

[40] A tIFSAt is called t-intuitionistic fuzzy subgroup(tIFSG)At of group G if it admits the following conditions:

  • 1)

    μAta1b1minμAta1,μAtb1.

  • 2)

    νAta1b1maxνAta1,νAtb1.

  • 3)

    μAta11=μAta1.

  • 4)

    νAta11=νAta1, a1,b1G.

In At, the terms μAta1b1,μAta1 and μAtb1 represent the degree of membership of the elements a1b1,a1,b1. On the other hand, the expressions νAta1b1,νAta1 and νAtb1 indicate the degree of non-membership degrees to the same elements in At.

Definition 3

[41] Let At be a tIFS of a universe U. The (ρ,η) cut set of tIFS is a subset of the universe U, which may be defined as:

ρ,ηAt=a1U:μAta1ρandνAta1η

where 0ρ1 and 0η1 such that 0ρ+η1.

Where μAta1 and νAta1 indicate the membership and non-membership degrees to the element a1 in At.

Definition 4

[41] The support set At* of tIFSAt of the universe U is defined as:

At*=a1U:μAta1>0andνAta1<1

The functions μAta1 and νAta1 respectively assign the membership and non-membership degrees to the element a1 in At.

Definition 5

[41] The level set of tIFSAt may be defined as:

ΛAt=ρ,η:μAta1=ρ,νAta1=η,forsomea1U.

μAta1 and νAta1 stand for the degrees of membership and non-membership of the element a1 in At, respectively.

Definition 6

[41] Let At be a tIFSG of group G. The subgroup ρ,ηAtρ,η0,1 with 0ρ+η1 is called a level subgroup of At

The symbol ρ,ηAt represent the (ρ,η) cut set of tIFSG At.

Definition 7

[40] A tIFSGAt is called t-intuitionistic fuzzy normal subgroup (tIFNSG) of G if it satisfies the following conditions:

  • 1)

    μAta1b1=μAtb1a1

  • 2)

    νAta1b1=νAtb1a1,a1,b1G.

The terms μAt(a1b1) and νAt(a1b1) respectively denote the membership and non-membership degrees of the element a1b1 in At. Likewise, the terminologies μAt(b1a1) and νAt(b1a1) respectively characterize the membership and non-membership degrees of the element b1a1 in At.

Theorem 1

[41] A t-IFSAt of a group G is t-IFSG if and only if its each level set is a subgroup of group G.

Theorem 2

[41] A t-IFSAt of a group G is t-IFSG of G iff C(ρ,η)(At) is a normal subgroup of G where ρ and η are positive real numbers such that their sum lies in the closed unit interval.

Theorem 3

[41] Consider a t-IFSGAt of a group G and

ΛAt=ρ,η:μAta1=ρ,νAta1=ηforsomea1U.

Then the family of level subgroups IAt={C(ρi,ηi)(At):0ir} constitutes all the level subgroups of At.

Definition 8

[41] Consider a t-IFSG At of a finite group G and b1G. Then the t-intuitionistic fuzzy order of the element b1At is denoted by tIFOAt(b1) and is defined as:

tIFOAt(b1)=|H(b1)|

Where b1=a1G:μAta1μAtb1,νAta1νAtb1.

The set H(b1) is calculated by the elements b1 in G. The set H(b1) comprises of elements of “a1” that belong to the group G and have a membership degree μAt in At greater than or equal to that element “b1” and a non-membership degree νAt in At less than that element “b1”. Here, μAt(a1),μAt(b1) and νAt(a1),νAt(b1), respectively, represents the membership and non-membership degrees of elements a1 and b1 in At.

Theorem 4

[42] Any subgroup H of a group G can be visualized as a level subgroup of some t-IFSG of G.

Theorem 5

[42] If tIFOAt(a1)=n then tIFOAt(a1m)=tIFOAt(a1)(n,m), for some integer m.

Theorem 6

[42] Let G be a finite group and At be a t-IFSG of G. Then [G:At] divides O(G).

3. Conjugacy class of t-intuitionistic fuzzy subgroup of a group

In this section, we define the notion of a t-intuitionistic fuzzy conjugate element of a finite group G and establish the classification of these newly defined elements. We also discuss the class equation of the tIFSG of the finite group G.

Definition 9

Let At be a t-IFSG of a finite group G and a1,b1G. Then a1 is t-intuitionistic fuzzy conjugate (t-IFC) to b1 (written as a1Atb1) if there exists a non-identity element g1G such that μAta1=μAtg11b1g1 and νAta1=νAtg11b1g1.

Example 1

The dihedral group D3 of degree 3 is defined as:

D3=r,s:r3=s2=1,sr=r2s.

The t-IFSG At of D3 for t=0.70 is defined as follows: μA0.70(z1)={0.700.500.40ifz1=1ifz1=sifz1{r,r2,rs,r2s}and ν0.70(z1)={0.300.400.50ifz1=1ifz1=sifz1{r,r2,rs,r2s}.

In the light of definition (9), we obtain that sA0.70s, rA0.70r2 and rsA0.70r2s.

Theorem 7

If a1 is t-IFC to b1 then tIFOAt(a1)=tIFOAt(b1), where a1,b1G.

Proof. Since a1 and b1 are t-IFC then there exists g1G such that

μAt(a1)=μAt(g11b1g1) and νAt(a1)=νAt(g11b1g1).

Consider

μAt(a12)=μAt(g11b1g1·g11b1g1)=μAt(g11b12g1)

and

νAt(a12)=νAt(g11b1g1·g11b1g1)=νAt(g11b12g1).

The application of the method of induction in the above relation gives us:

μAta1n=μAtg11b1ng1,νAta1n=νAtg11b1ng1,

and

μAtb1n=μAtg11a1ng1,νAtb1n=νAtg11a1ng1.

Consider tIFOAt(a1)=m1 and tIFOAt(b1)=m2. This implies that

μAtb1m1=μAtg11a1m1g1=μAte.

In view of Theorem (5), we have

m1|m2. (1)

Moreover, μAt(a1m2)=μAt(g11b1m2g1)=μAt(e).

The application of Theorem (5) gives that

m2|m1. (2)

From relations (1) and (2), we have the required result.

Definition 10

Let At be a t-IFSG of a finite group G. The t-intuitionistic fuzzy conjugacy class (t-IFl) of an element a1G is defined as:

ClAt(a1)={b1G:b1Ata1}=b1G:μAtb1=μAtg11a1g1andνAtb1=νAtg11a1g1,g1G.

Example 2

The finite presentation of the dihedral group D4 of degree 4 is defined as: D4=r,s:r4=s2=1,sr=r3s.

The t-IFSG At of D4 correspond to the value t=0.70 is given as: μA0.70(z1)={0.700.650.600.50ifz1=1ifz1=sifz1{r2,r2s}ifz1{r,r3,rs,r3s} and νA0.70(z1)={0.300.350.400.50ifz1=1ifz1=sifz1{r2,r2s}ifz1{r,r3,rs,r3s}.

The application of definition (10) yields that ClA0.70(1)={1}, ClA0.70(r)={r,r3}, ClA0.70(r2)={r2}, ClA0.70(s)={s}, ClA0.70(r2s)={r2s} and ClA0.70(rs)={rs,r3s}.

The following theorem describes that the t-IFC relation between elements of t-IFSG in a group is an equivalence relation.

Proposition 1

The t-intuitionistic fuzzy conjugacy between elements t-IFSGAt of a group G is an equivalence relation.

Proof. Reflexivity: The application of the definition (9) to any element a1G, we have μAt(a1)=μAt(e1a1e) and νAt(a1)=νAt(e1a1e), where eG.

It follows that a1Ata1.

Symmetry: Consider a1Atb1 so that there exists an element g1G such that μAt(a1)=μAt(g11b1g1) and νAt(a1)=νAt(g11b1g1),a1,b1G.

This implies that μAt(g1a1g11)=μAt(g1g11b1g1g11) and νAt(g1a1g11)=νAt(g1g11b1g1g11).

This further implies that μAt(g11a1g1)=μAt(b1) and νAt(g11a1g1)=νAt(b1)

This shows that b1Ata1.

Transitivity: For any a1,b1,c1G. Consider a1Atb1 and b1Atc1 there exist two elements g1,g2G such that

μAt(a1)=μAt(g11b1g1),νAt(a1)=νAt(g11b1g1)

and μAt(b1)=μAt(g21c1g2), νAt(b1)=νAt(g21c1g2) where a1,b1,c1G.

This implies that μAt(a1)=μAt(g11g21c1g2g1) and νAt(a1)=νAt(g11g21c1g2g1)

This shows that μAt(a1)=μAt((g2g1)1c1(g2g1)) and νAt(a1)=νAt((g2g1)1c1(g2g1))

This means that a1Atc1. Consequently, this proves the equivalence properties of the t-intuitionistic fuzzy conjugacy relation.

Remark 1

  • 1)

    In view of the above theorem, the group G is partitioned into equivalence classes, such classes are called t-IFl of the group G. It is important to note that one can obtain a different partition of G corresponding to different t-IFSG defined on it. Whereas there is only one partition of group G in classical group theory. The significance of this approach of getting many partitions of a group G is to obtain an economic solution of a decision-making problem under consideration.

  • 2)

    The t-IFl of an element of a finite abelian group G is always a singleton set.

The following result indicates the conditions under which the t-IFl of two elements are equal.

Theorem 8

The t-IFl of the elements a1 and b1 are equal if and only if a1 and b1 are t-IF to each other.

Proof. Suppose that a1 and b1 are t-IFC to each other. Consider g1ClAt(a1), then by using definition (10), we have g1Ata1. Since g1Ata1 and a1Atb1. By the transitive property, we have g1Atb1. Thus g1ClAt(b1). This shows that ClAt(a1)ClAt(b1). In the same way, we obtain ClAt(b1)ClAt(a1). Consequently, ClAt(a1)=ClAt(b1).

Conversely, let ClAt(a1)=ClAt(b1). This implies that g1Ata1 and g1Atb1,g1G. Consequently, a1Atb1.

Definition 11

If At is a t-IFSG of a finite group G, the centralizer Ć(At) of At in G is defined as: ĆAt=a1G:μAta1g1=μAtg1a1andνAta1g1=νAtg1a1,g1G

Lemma 1

Let At be a t-IFSG of a group G and T=a1G:μAta1g1a11g11=μAteandνAta1g1a11g11=νAte,g1G then T=Ć(At).

Proof. Let a1T then for all g1G, we get

μAt(a1g1(g1a1)1)=μAt(a1g1g11a11)=μAt(e)

and

νAt(a1g1(g1a1)1)=νAt(a1g1g11a11)=νAt(e).

This implies that μAt(a1g1)=μAt(g1a1) andνAt(g1a1)=νAt(a1g1),g1G. Thus TĆ(At).

Furthermore, if a1Ć(At) then μAta1g1=μAtg1a1andνAtg1a1=νAta1g1.

This implies that μAt(a1g1a11g11)=μAt(e) and νAt(a1g1a11g11)=νAt(e),a1,g1G.

So, a1T. Thus TĆ(At). Hence T=Ć(At).

Definition 12

If At is a t-IFSG of a finite group G, the centralizer of an element of At in G (written as ĈAt(a1)) is defined as: ĈAta1=g1G:μAta1g1a11g11=μAteandνAta1g1a11g11=νAte.

Example 3

Consider 0.80IFSGA0.80 of dihedral group D3 as follows: μA0,80(z1)={0.80ifz1{1,r,r2}0.50ifz1{s,r2s,rs} and νA0.20(z1)={0.20ifz1{1,r,r2}0.45ifz1{s,r2s,rs}.

In the light of definitions (11) and (12), we acquire:

ĆA0.80=D3.
ĈA0.801=D3,
ĈA0.80r=ĈA0.80r2=1,r,r2

and

ĈA0.80s=ĈA0.80rs=ĈA0.80r2s=D3

Theorem 9

The t-intuitionistic fuzzy centralizer of At is a subgroup of G.

Proof. For any two elements g1,g2Ć(At), we have

At(g1a1g11a11)=At(e),a1G (3)
At(g2b1g21b11)=At(e),b1G (4)

Consider

At((g1g2)c1(g1g2)1c11)=At(g1g2c1g21g11c11)
=Atg1g2c1g21c11c1g11c11
=At(g1c1g11c11)
=At(e).

This shows that g1g2Ć(At).

Moreover, consider At(g11a1g1a11).

Substituting a1=g1d1 in the above relation, we get

At(g11a1g1a11)=At(g11g1d1g1d11g11)
=At(d1g1d11g11)
=At(e)

Thus, g11Ć(At).

Consequently, Ć(At) is a subgroup of G.

Lemma 2

Let Atbeat-IFSG of a finite group G. Then a1Ć(At) if

μAta1g1g2gs=μAtg1a1g2gs=μAtg1g2gsa1

and

νAta1g1g2gs=νAtg1a1g2gs=νAtg1g2gsa1,g1,g2,gsG.

Proof. We prove by induction to s. Suppose a1C(At). Then

μAt(a1g1g2)=μAt(g1g2a1),g1,g2G.

Assume that μAta1g1g2gs=μAtg1a1g2gs=μAtg1g2gsa1.

Then

μAta1g1g2gsgs+1=μAtg1a1g2gsgs+1
=μAt(g1g2a1(gsgs+1))
=μAt(g1g2(gsgs+1)a1)

and

μAt(a1(g1g2)gsgs+1)=μAt((g1g2)a1gsgs+1)
=μAtg1g2gsa1gs+1
=μAt((g1g2)a1.gsgs+1a1),g1,g2,gsG

Now, we obtain the required result by applying the similar arguments for non-membership function νAt.

This completes the proof.

Corollary 1

Let At be a t-IFSG of a group G, then

  • 1)

    If At is a t-IFSG of a group G then Ć(At)G.

  • 2)

    If At is a t-IFSG of an abelian group G then Ć(At)=G.

Theorem 10

Let At be a t-IFSG of a finite group G then

|ClAt(a1)|=|G||ĈAt(a1)|,a1G.

Proof. Consider the collection H of all disjoint cosets of ĈAt(a1) in G is given by:

=g1ĈAta1,g2ĈAta1,g3ĈAta1,,gsĈAta1:gsG

Moreover, the left decomposition of G as a disjoint union of cosets of ĈAt(a1) in G is given by: G=i=1sgiĈAt(a1), giG.

It follows that O(G)=s·O(ĈAt(a1)). Define a mapping φ:HClAt(a1) by

φ(g1ĈAt(a1))=At(b11a1b1).

As φ is well defined because for any two elements b1,c1G, we have b1ĈAt(a1)=c1ĈAt(a1) this implies that b11c1ĈAt(a1).

By using definition (12), we have

At(a1(b11c1)a11(b11c1)1)=At(e)

This shows that At(b11a1b1)=At(c11a1c1). Consequently, φ(b1CAt(a1))=φ(c1CAt(a1)).

As φ is injective as for any two elements b1,c1G, we have φ(b1CAt(a1))=φ(c1CAt(a1)).

This implies that At(b11a1b1)=At(c11a1c1). This further implies that

At(a1(b11c1)a11(b11c1)1)=At(e)

This means that b11c1ĈAt(a1). Thus b1ĈAt(a1)=c1ĈAt(a1).

Moreover, one can easily prove that φ is surjective.

Thus, there is a one-to-one correspondence between H and ClAt(a1).Hence O(H)=O(ClAt(a1)). Consequently, |ClAt(a1)|=|G||ĈAt(a1)|.

Corollary 2

The cardinality of the t-IFl of an element of the finite group G divides the order of G.

Proof. Since ĈAt(a1) is a subgroup of G, its order and index divide the order of G by Lagrange’s Theorem. However, the index of ĈAt(a1) is equal to the number of elements in ClAt(a1) which therefore divides the order of G.

Definition 13

If At is a t-IFSG of a finite group G, the t-intuitionistic fuzzy normalizer NAt of At in G is defined as:

NAt=g1G:μAta1=μAtg11a1g1andνAta1=νAtg11a1g1,a1G.

Example 4

Consider the t-IFSG At of dihedral group D3 for the value t=0.70 as follows: μA0,70(z1)={0.70ifz1{1,r,r2}0.40ifz1{s,r2s,rs} and νA0.70(z1)={0.30ifz1{1,r,r2}0.25ifz1{s,r2s,rs}.

With reference to definition (13), we obtain N(A0.70)={1,r,r2}

Corollary 3

Let At be a t-IFSG of a group G then:

  • 1)

    If At is a t-IFSG of a group G then N(At)G.

  • 2)

    If At is a t-IFNSG of a group G then N(At)=G.

  • 3)

    Ć(At) is a normal subgroup of N(At).

Definition 14

The class equation of t-IFSG At of the finite group G is defined as:

|G|=a1G|ClAt(a1)|

where ClAt(a1) is the t-IFCCl of an element of At of G.

Definition 15

The Class equation of t-IFNSG At of the finite group G is defined as:

|G|=a1G|[G:ĈAt(a1)]|

The following examples demonstrate the aforementioned algebraic facts.

Example 5

The class equation of 0.70IFSGA0.70 of D4 is |D4|=1+2+1+1+1+2=8 (See example 2).

Example 6

Consider the 0.70IFNSGA0.70 of dihedral group D10 as follows:

μA0.70(z1)={0.700.650.45ifz1=1ifz1{r,r2,r3,r4}ifz1{s,rs,r2s,r3s,r4s}

and

νA0.70(z1)={0.300.350.50ifz1=1ifz1{r,r2,r3,r4}ifz1{s,rs,r2s,r3s,r4s}

In accordance with the definition (12), we have

ĈA0.70(1)=D10,ĈA0.70(r)={1,r,r2,r3,r4},ĈA0.70(s)={1,s},ĈA0.70(rs)={1,rs},

ĈA0.70(r2s)={1,r2s},ĈA0.70(r3s)={1,r3s}, and ĈA0.70(r4s)={1,r4s}.

The class equation of 0.70IFNSGA0.70 of D10 is

|G|=5+2+2+1=10.

4. Algebraic characteristics of t-intuitionistic fuzzy p subgroup

In this section, we initiate the idea of the t-intuitionistic fuzzy p subgroup of t-IFSG and establish the various algebraic properties of this phenomenon. Furthermore, we prove the t-intuitionistic fuzzy version of the Cauchy Theorem.

Definition 16

A t-IFSG At of a group, G is a t-intuitionistic fuzzy p-subgroup if tIFOAt(a1) is a power of prime p,a1G.

Theorem 11

[42]. Let At be a t-IFNSG of a finite group G, then the set Gt=a1G:μAta1=μAteandνAta1=νAte is a normal subgroup of G.

In the following result, we establish a condition under which a t-IFSG is a t-intuitionistic fuzzy p- subgroup.

Theorem 12

Consider a t-IFSG At of a finite group G such that

Gt=a1G:μAta1=μAteandνAta1=νAte

is a normal subgroup of G then At is a t-intuitionistic fuzzy p- subgroup if and only if G/Gt is a p group.

Proof. In view of definition (16) and for any element a1 in G, we have tIFOAt(a1)=ps for some non-negative integer s and so a1psGt. Thus G/Gt is a p group. Conversely, let G/Gt is a p group. If a1G then a1psGt for some nonnegative integer s and so At(a1ps)=At(e). Consequently, At is a t-intuitionistic fuzzy p-subgroup.

Theorem 13

If tIFOAt(a1)=m1n1 for some coprime positive integer m1 and n1, then there exist b1,b2G such that a1=b1b2=b2b1,tIFOAt(b1)=m1 and tIFOAt(b2)=n1.

Proof. Assume that tIFOAt(a1)=m1n1. Since (m1,n1)=1 then there exist integers p1 and q1 such that m1p1+n1q1=1. Here (m1,q1)=(n1,p1)=1. Let b1=a1n1p1 and b1=a1m1q1 then a1=b1b2=b2b1.

By using Theorem (5), we have

tIFOAt(b1)=tIFOAt(a1n1p1)=m1

and

tIFOAt(b2)=tIFOAt(a1m1q1)=n1.

Theorem 14

(t-Intuitionistic Fuzzification of Cauchy Theorem). Let At be a t-IFSG of a finite group G and t-IFOAt=p1rm1, where p is prime and (p1,m1)=1, then there is an element a1G such that tIFOAt(a1)=p1s, for each nonnegative integer sr.

Proof. Since t-IFO(At) is the greatest common divisor of tIFOAt(a1), where a1G there is an element a1 in G such that tIFOAt(a1)=p1s. By using the induction method on s and the Cauchy Theorem in classical group theory we have an element a1G such that tIFOAt(a1)=p1s.

Corollary 4

If At is a t-IFSG of an abelian group G and t-IFO(At)=m1n1 for some m1,n1Z, then there is an element a1 in G such that tIFOAt(a1)=m1.

Remark 2

Let At be a t-IFSG of a group G satisfying the following conditions for some prime p1 then Hp1={a1G:(tIFOAt(a1),p1)=1} and Lp1=a1G:tIFOAta1p1 are constitute a subgroup of G.

Theorem 15

Let At be any t-IFSG of a group G such that the t-intuitionistic fuzzy index of At is p, where p is the smallest prime p divisor the order of G then At is a t-IFNSG of G.

Proof. Define a subgroup H of index p as follows:

H={z1G:At(z1)=At(e)}.

Then the group G acts on the left cosets GH by left multiplication as:

{aiH:1ip1}

Now, consider the permutation representation of G on the cosets of H given by the map

ρ:Gρa

where

ρa:aiHaaiH,1ip1.

As is well known, ρ is a homomorphism of G into the symmetric group. Further, the kernel of the map ρ is the core of H. By the First Isomorphism Theorem of groups, the quotient group G/Core(H) is isomorphic to the subgroup of the symmetric group, thus O(G/Core(H)) divides p1! by Lagrange’s Theorem. Since O(G/H) is p, it follows that the O(H/Core(H)) divides (p11)!. Now since the O(H) divides the O(G), we obtain H=Core(H); otherwise, we get a contradiction to the fact that p1 is the smallest prime divisor the O(G). As Core(H) is always a normal subgroup, it follows that H is a normal subgroup of G. Moreover, G/H is abelian. It follows that a1b1=b1a1h1 for some h1H implies that

μAt(a1b1)=μAt(b1a1h1)

In view of definition (2), we have

minμAtb1a1,μAth1
=minμAtb1a1,μAte

Consequently, μAt(a1b1)μAt(b1a1).

Similarly, μAta1b1μAtb1a1.

Thus μAt(a1b1)=μAt(b1a1),a1,b1G.

The same procedure is applied to get νAt(a1b1)=νAt(b1a1),a1,b1G.

This concludes that At is t-IFNSG of G.

Corollary 5

Let At be any t-IFSG of a group G such that the t-intuitionistic fuzzy index of At is 2, then At is t-IFNSG of G.

Definition 17

Let At be any t-IFSG of a finite group G and

=a1G:μAta1=μAteandνAta1=νAte

Then At is t-intuitionistic fuzzy abelian if H is an abelian subgroup of G.

Theorem 16

A t-IFSG At is t-intuitionistic fuzzy abelian if t-IFO(At)=p12, where p1 a is prime.

Proof. The result is obtained by a simple application of the definition (16).

5. t-Intuitionistic fuzzy conjugate subgroup of t-intuitionistic fuzzy subgroups

In this section, we define the notions of equivalent t-IFSG and t-intuitionistic fuzzy conjugate subgroup of t-IFSG. We also establish the various algebraic aspects of this phenomenon. Moreover, we establish the relation under which a t-IFSG is a t-intuitionistic fuzzy conjugate subgroup.

Theorem 17

If At is a t-IFSG of a finite group G and ρi,ηi,ρj,ηjΛAt such that C(ρi,ηi)(At)=C(ρj,ηj)(At), then (ρi,ηi)=(ρj,ηj).

Proof. Let aiC(ρi,ηi)(At) and ajC(ρj,ηj)(At). As aiC(ρi,ηi)(At), we have

At(ai)=(ρi,ηi)(ρj,ηj)

Similarly, (ρj,ηj)(ρi,ηi). Consequently, (ρi,ηi)=(ρj,ηj).

Theorem 18

Let At and Bt be two t-IFSG of a finite group G having an identical family of level subgroups. If

ΛAt=ρ0,η0,ρ1,η1,,ρr,ηr

and

ΛBt=ρ0',η0',ρ1',η1',,ρs',ηs'

where 1=ρ0ρ1ρr,0=η0η1ηr and 1=ρ0ρ1ρs, 0=η0η1ηs then

  • 1)

    r=s

  • 2)

    C(ρi,ηi)(At)=C(ρi,ηi)(Bt),0ir

  • 3)

    For any element a1G such that At(a1)=(ρi,ηi) then Bt(a1)=(ρi,ηi),0ir.

Proof. (1) By using Theorem (3), the only level subgroups of At and Bt have the same families

IAt=IBt.

As At and Bt have the same family of level subgroups, it follows that r=s.

(2) There are two chains of level subgroups, which can be identified using part (1) of the theorem (18) and the theorem (3)

Cρ0,η0AtCρ1,η1At...Cρr,ηrAt=G

and

Cρ0',η0'BtCρ1',η1'Bt...Cρs',ηs'Bt=G

From this, it now follows that if: ρi,ηi,ρj,ηjΛAt such that (ρi,ηi)>(ρj,ηj), then

Cρi,ηiAtCρj,ηjAt (5)

If ρi',ηi',ρj',ηj'ΛBt such that (ρi,ηi)>(ρj,ηj).

then

C(ρi,ηi)(Bt)C(ρj,ηj)(Bt) (6)

Since the two families of level subgroups are identical, it is clear that C(ρ0,η0)(At)=C(ρ0,η0)(Bt).

Now by hypothesis C(ρ1,η1)(At)=C(ρj,ηj)(Bt) for some j>0. Suppose that C(ρ1,η1)(At)=C(ρj,ηj)(Bt) for some j>1. Again, we have that C(ρi,ηi)(At)=C(ρ1,η1)(Bt) for some (ρi,ηi)<(ρ1,η1). It is clear that (ρi,ηi)(ρ1,η1).

According to relation (5), we obtain

C(ρi,ηi)(At)<C(ρj,ηj)(Bt). (7)

The application of relation (6) yields that

C(ρj,ηj)(Bt)<C(ρi,ηi)(At). (8)

Relations (7) and (8) allow us to derive that

C(ρ1,η1)(At)=C(ρ1,η1)(Bt).

By using the induction method on i, we obtain

C(ρi,ηi)(At)=C(ρi,ηi)(Bt),0ir.

(3) Consider any non-zero element a1G such that At(a1)=(ρi,ηi) and Bt(a1)=(ρj,ηj).

By using part (2) of Theorem (18), we have C(ρi,ηi)(At)=C(ρi,ηi)(Bt). So, a1C(ρi,ηi)(Bt) implies that Bt(a1)=(ρj,ηj) such that (ρj,ηj)(ρi,ηi).

By applying relation (8), we get

C(ρj,ηj)(Bt)C(ρi,ηi)(Bt).

Again, by using part (2) of Theorem (18), we have

C(ρj,ηj)(At)=C(ρj,ηj)(Bt).

So, as a1C(ρj,ηj)(Bt), we have that a1C(ρj,ηj)(At) and so At(a1)=(ρi,ηi)(ρj,ηj)..

Now, from relation (5), we get

C(ρi,ηi)(At)C(ρj,ηj)(At).

But by using part (2) of Theorem (18), we have C(ρi,ηi)(At)=C(ρi,ηi)(Bt) and C(ρj,ηj)(At)=C(ρj,ηj)(Bt).

Consequently, we have that C(ρi,ηi)(Bt)C(ρj,ηj)(Bt) which contradicts the fact C(ρj,ηj)(Bt)C(ρi,ηi)(Bt) obtained earlier unless we have that C(ρj,ηj)(Bt)=C(ρi,ηi)(Bt)..

Using Theorem (17), it follows that (ρj,ηj)=(ρi,ηi).

Theorem 19

Let At and Bt be any two t-IFSG of a finite group G. Then At=Bt if and only if ΛAt=ΛBt.

Proof. If At=Bt then obviously ΛAt=ΛBt. Conversely, assume that ΛAt=ΛBt. For convenience, let us denote ΛAt=ρ0,η0,ρ1,η1,...,ρr,ηr where 1=ρ0ρ1...ρr, 0=η0η1...ηr and ΛBt=ρ0',η0',ρ1',η1',...,ρr',ηr' where 1=ρ0ρ1...ρr, 0=η0η1...ηr. Therefore (ρk0,ηk0)=(ρs,ηs) for some k0. Suppose if possible (ρk0,ηk0)(ρ0,η0). So, (ρk0,ηk0)<(ρ1,η1). Now, ρ1',η1'ΛBt and so (ρ1,η1)=(ρk1,ηk1) for some k1. We have (ρ0,η0)>(ρ1,η1) and (ρk0,ηk0)>(ρk1,ηk1). Proceeding in this way, we have

(ρk0,ηk0)>(ρk1,ηk1)>...>(ρkr,ηkr) (9)

where

(ρ0,η0)=(ρk0,ηk0)>(ρ0,η0). (10)

However, relations (9) and (10) contradict the fact that

ΛAt=ΛBt.

Hence, we have (ρ0,η0)=(ρ0,η0). Arranging in this manner, we obtain that (ρi,ηi)=(ρi,ηi),0ir. Now, let b0,b1,...,br be distinct elements of G such that At(bi)=(ρi,ηi),0ir.

Then by Theorem (18), we have that

Bt(bi)=(ρi,ηi),0ir.

Since (ρi,ηi)=(ρi,ηi), it follows that At(b)=Bt(b),bG. Hence, At=Bt.

Definition 18

Let At and Bt be any two t-IFSG of a group G then At and Bt are said to be equivalent (denoted by AtBt), if IAt=IBt.

Remark 3

Let ℱ denotes the collection of t-IFSG of a finite group G. Define a relation on ℱ as follows: AtBt if and only if At and Bt have the same family of level subgroups for any At and Bt in ℱ.

Lemma 3

The relation ‘’ is an equivalence relation.

Proof. Let [At] denotes the equivalence class containing At, where AtF. As group G is finite, the number of possible distinct level subgroups of G is finite since each level subgroup is a subgroup of group G. From Theorem (3), it follows that the number of possible chains of level subgroups is also finite. As each equivalence class is characterized completely by its chain of level subgroups.

Definition 19

Let At and Bt be any two t-IFSG of a group G. We say that At is t-intuitionistic fuzzy conjugate (t-IFCSG) to Bt if there exists a1G such that μAt(b1)=μBt(a11b1a1) and νAt(b1)=νBt(a11b1a1),b1G.

It is interesting to note that the relation of conjugacy between t-IFSG is an equivalence. Consequently, the family of t-IFSG of a group G is a union of pairwise disjoint classes of t-IFSG each consisting of equivalent t-IFSG.

Theorem 20

Let At be a t-IFSG and Bt be a t-IFS of a group G. If At and Bt are t-IFCSG of G then Bt is a t-IFSG of group G.

Proof. Since At and Bt are t-IFCSG of G. In view of the definition (18) and for some a1G, we have μBt(b1)=μAt(a11b1a1) and νBt(b1)=νAt(a11b1a1),b1G.

Consider

μBt(b1)=μBt(e1b1e1)
=μBt(a11a1b1a11a1)
=μAt(a11b1a1).

Consider

μBt(a1b1)=μBt(e1a1e1b1e1)
=μBt(c11c1a1c11c1b1c11c1)
=μAt(c1a1c11c1b1c11)

Since At is a t-IFSG of the group G.

min{μAt(c1a1c11),μAt(c1b1c11)}
=min{μBt(a1),μBt(b1)}

Consequently, μBt(a1b1)min{μBt(a1),μBt(b1)}.

Also μBt(b11)=μAt(a1b11a11).

=μAt(a1b1a11)
=μBt(b1).

The same procedure is applied for νBt.

This shows that Bt is a t-IFSG of group G.

Theorem 21

Let At and Bt be any two tIFSG of a group G then At and Bt are t-IFCSG of G if and only if At=Bt.

Proof. Assume that At and Bt are t-IFCSG of a group G. With reference to definition (18), we have μBt(b1)=μAt(a11b1a1) and νBt(b1)=νAt(a11b1a1),b1G.

Consider a1b1=b1a1G then μAt(a1b1)=μBt(a11b1a1a1). This implies that

μAt(a1b1)=μBt(b1a1).

For some a1=e1G, we have μAt(e1b1)=μBt(b1e1). This further implies that

μAt(b1)=μBt(b1).

Consequently μAt=μBt. Similarly, νAt=νBt. This shows that At=Bt.

Conversely, suppose that At=Bt. Let μAt=μBt. This implies that μAt(b1)=μBt(b1).

This means that μAt(b1)=μBt(e11b1e1),b1,e1G.

In the same way, we have νAt(b1)=νBt(e11b1e1),b1,e1G.

Consequently, At and Bt are t-IFCSG of G.

Corollary 6

If At and Bt are any two t-IFCSG of a group G then

t-IFO(At)=t-IFO(Bt).

Theorem 22

Let At be any t-IFSG of a group G. For any element g1 in G define a map Atg1:G[0,1] by μAtg1(a1)=μAt(g11a1g1) and νAtg1(a1)=νAt(g11a1g1),a1G. Then the following statements are true:

  • 1)

    Atg1 is a t-IFSG and Atg1 is a t-IFCSG of G determined by At and g1 in G.

  • 2)

    If |ΛAt|=2, then Atg1={g1C(ρ0,η0)(At)g11,G}, where ρ0=μAt(e) and η0=νAt(e).

Proof. (1). Define a map Ig1:GG by Ig1(a1)=g11a1g1,a1G. Then Ig1AutG and Atg1=AtIg1=Ig11(At). Since the inverse image of a t-IFSG by a group homomorphism is always a t-IFSG, it follows that Atg1 is a t-IFSG. Thus Atg1 is a t-IFCSG of group G determined by At and g1 in G is trivial.

(2). Since Atg1=Ig11(At), it follows that Λ(Atg1)=Λ(At). Let Λ(At)={(ρi,ηi):0i1}In view of definition (3), we have

b1C(ρi,ηi)(Atg1)

μAtg1(b1)ρi and νAtg1(b1)ηi.

μAt(g11b1g1)ρiandνAt(g11b1g1)ηi.

g11b1g1C(ρi,ηi)(At)
b1g1C(ρi,ηi)(At)g11

Thus C(ρi,ηi)(Atg1)=g1C(ρi,ηi)(At)g11.

Consequently, we obtain that

IAtg1={C(ρ0,η0)(Atg1),C(ρ1,η1)(Atg1)}={g1C(ρ0,η0)(At)g11,G}.

Theorem 23

If the chain of the level subgroups of t-IFSGAt is given by:

Cρ0,η0AtCρ1,η1AtCρr,ηrAt=G

then the chain of level subgroups t-IFCSGAtg1, the t-IFCSG Atg1 of G is determined by At and g1G is given by

g1C(ρ0,η0)(At)g11g1C(ρ1,η1)(At)g11g1C(ρr,ηr)(At)g11=G.

Proof. In view of Theorem (22), we have C(ρi,ηi)(Atg1)=g1C(ρi,ηi)(At)g11.

From this, we conclude that the chain of level subgroups of Atg1 is given by

g1ρ0,η0Atg11g1ρ1,η1Atg11...g1ρr,ηrAtg11=G

In the following result, we develop a mechanism to obtain a t-IFCSG corresponding to a t-IFSG in the framework of the concept of level subgroups.

Theorem 24

If the chain of the level subgroups of t-IFSG At is given by

C(ρ0,η0)(At)C(ρ1,η1)(At)...C(ρr,ηr)(At)=G

then there exists a t-IFSG Bt of G whose chain of level subgroups is given by

g1C(ρ0,η0)(Bt)g11g1C(ρ1,η1)(Bt)g11g1C(ρr,ηr)(Bt)g11=G

where g1G and Bt=Atg1.

Proof. Consider the t-IFSBt of the group G as follows:

μBt(a1)={ρ0ifa1g1C(ρ0,η0)(Bt)g11ρrifa1g1C(ρi,ηi)(Bt)g11g1C(ρi1,ηi1)(Bt)g11

and

νBt(a1)={η0ifa1g1C(ρ0,η0)(Bt)g11ηrifa1g1C(ρi,ηi)(Bt)g11g1C(ρi1,ηi1)(Bt)g11,i=1,2,,r.

Then Bta1=Atg1a1,a1G because i=1,2,,r, we have

Bta1=ρi,ηi
a1g1Cρi,ηiBtg11g1Cρi1,ηi1Btg11
g11a1g1Cρi,ηiBtCρi1,ηi1Bt
At(g11a1g1)=(ρi,ηi)
Atg1(a1)=(ρi,ηi)

and

Bt(a1)=(ρ0,η0)
a1g1C(ρ0,η0)(Bt)g11
g11a1g1C(ρ0,η0)(Bt)
At(g11a1g1)=(ρ0,η0)
Atg1(a1)=(ρ0,η0)

Next, we define a map Ig1:GG by Ig1(a1)=g11a1g1,a1G. Then Ig1AutG. Since At is a t-IFSG of G, it follows that Atg1=AtIg1=Ig11(At) is also a t-IFSG of G, as the inverse image of a t-IFSG by a group homomorphism is a t-IFSG. Hence Bt=Atg1 is also a t-IFSG of G. Moreover, it is clear that Λ(Atg1)=Λ(At) and C(ρi,ηi)(Atg1)=g1C(ρi,ηi)(At)g11.

Thus, the chain of level subgroups of Atg1 and hence of Bt is given by

g1C(ρ0,η0)(At)g11g1C(ρ1,η1)(At)g11...g1C(ρr,ηr)(At)g11=G

Example 7

Consider the 0.70IFSG A0.70 of D4 as follows:

μA0.70(z1)={0.700.650.45ifz1=1ifz1{rs}ifz1{s,r,r2,r3,r2s,r3s}

and

νA0.70(z1)={0.300.350.45ifz1=1ifz1{rs}ifz1{s,r,r2,r3,r2s,r3s}.

In view of definition (3), we have

C(0.70,0.30)(A0.70)={1}

C(0.65,0.35)(A0.70)={1,rs} and

C(0.45,0.45)(A0.70)=D4.

Consider the 0.7IFSG B0.7 of D4 as follows:

μB0.70(z1)={0.700.650.45ifz1=1ifz1{r3s}ifz1{s,r,r2,r3,rs,r2s}

and

νB0.70(z1)={0.300.350.45ifz1=1ifz1{r3s}ifz1{s,r,r2,r3,rs,r2s}.

In view of definition (3), we have

C(0.70,0.30)(A0.70)={1},
C(0.65,0.35)(A0.70)={1,rs}

and

C(0.45,0.45)(A0.70)=D4.

Similarly, C(0.70,0.30)(B0.70)={1}, C(0.65,0.35)(B0.70)={1,r3s} and

C(0.45,0.45)(B0.70)=D4.

The chain of level subgroups of 0.70IFSG A0.70 and B0.70 of D4 is given as:

C(0.70,0.30)(A0.70)C(0.65,0.35)(A0.70)C(0.45,0.45)(A0.70)

and

C(0.70,0.30)(B0.70)C(0.65,0.35)(B0.70)C(0.45,0.45)(B0.70)

In view of Theorem (24), we have

aC(0.70,0.30)(B0.7)a1aC(0.65,0.35)(B0.7)a1aC(0.45,0.45)(B0.7)a1.

Thus B0.7=A0.7a.

Theorem 25

Let At be a t-IFSG Bt of a finite group G then the number of distinct t-IFCSG of At is equal to the index of its normalizer in G.

Proof. Let At be a t-IFSG of a finite group G. Consider the decomposition of G as a union of left cosets of N(At):

G=a1N(At)a2N(At)...akN(At) (11)

where k is the number of distinct left cosets, that is, the index of N(At) in G.

Let aN(At) and choose i such that 1ik. Then for any aiG.

μAtaia(b1)=μAt((aia)1b1(aia))
=μAt(a1(ai1b1ai)a)
=μAta(ai1b1ai)
=μAt(ai1b1ai)
=μAtai(b1)

This means that μAtaia=μAtaiaN(At),1ik.

Similarly, νAtaia=νAtaiaN(At),1ik.

So, any two elements of G which lies in the same cosets aiN(At) give rise to the same t-IFCSGAtai of At. Now we show that two distinct t-IFCSG of At. Suppose that

Atai=Ataj (12)

where ij and 1i,jk. Now relation (12) implies that

Atai(b1)=Ataj(b1)b1G

This implies that At(ai1b1ai)=At(aj1b1aj),b1G.

Substituting b1=ajc1aj1 in the above relation, we have

At(ai1ajc1aj1ai)=At(c1),c1G

This further implies that At((ai1aj)c1(aj1ai))=At(c1),c1G.

This further implies that Ataj1ai(c1)=At(c1),c1G. This means that aj1aiN(At).

Consequently, aiN(At)=ajN(At). However, if ij this is not possible as (11) represents a partition of G into pairwise disjoint cosets. Hence the number of distinct conjugates of At is equal to the index of N(At) in G.

Definition 20

Let At be a t-IFSG of a group G and a1G. Then a11Cρ,ηAta1 forms a t-IFCSG G. This t-IFSG is called t-IFCSG to At. The set

Cl(At)={a11C(ρ,η)(At)a1:a1G}

is called the class of t-IFCSG to At.

Example 8

Consider the t-IFSG of the dihedral group D4 for the value t=0.70 as follows:

μA0.70(z1)={0.700.500.40ifz1=1ifz1=rsifz1{r,r2,r3,s,r2s,r3s}

and

νA0.70(z1)={0.300.400.50ifz1=1ifz1=rsifz1{r,r2,r3,s,r2s,r3s}.

In the light of definition (2), we acquire

C(0.50,0.40)(A0.70)={1,rs}

The required class of 0.70IFCSG to A0.70 is obtained as

Cl(A0.70)={H1,H2,H3,H4},

where H1={1,rs},H2={1,s},H3={1,r2s} and H4={1,r3s}.

Corollary 7

Let a11C(ρ,η)(At)a1 be t-IFCSG to At then O[Cl(At)]=O(G)O[N(At)].

The following illustration establishes the algebraic facts discussed in the above result.

Example 9

The application of the definition (13) and corollary (7) gives that: O[Cl(A0.70)]=82=4. (See example 8).

6. t-Intuitionistic fuzzification of Sylow's theorems

In this section, we define the notion of t-intuitionistic fuzzy Sylow p subgroup of finite group G. Moreover, we prove the t-intuitionistic fuzzy version of Sylow's Theorems.

Definition 21

A t-IFSG At of a group, G is called a t-intuitionistic fuzzy Sylow's p subgroup (t-lFSylp) if the support set At* is a Sylow's p subgroup of G.

Definition 22

Let At be a t-IFSG of a finite group G. A t-IFSG At is called t-intuitionistic fuzzy Sylow's p subgroup(t-lFSylp) of group G, if one of the level subgroups of At is Sylow's p subgroup of G.

There may be two or more level subgroups At which are Sylow p subgroup, but the support of At may not be Sylow p subgroup of G. However, definition (20) implies definition (21).

The following example illustrates the existence of the Sylow p subgroup of a t-lFSylp(G).

Example 10

Consider the direct product of the groups: G=<r:r5=1> and H=<s:s2=1> as G×H={(r,s):rG,sH}.

Consider the 0.70IFSG of G×H is given by:

μA0.70(z1)={0.700.500.40ifz1=(1,1)ifz1<(r,1)>{(1,1)}ifz1G×H-<(r,1)>

and

νA0.70(z1)={0.300.400.60ifz1=(1,1)ifz1<(r,1)>{(1,1)}ifz1G×H-<(r,1)>

In view of definition (3), we have

Ĉ(0.5,0.4)(A0.70)=(r,1),

which is a Sylow 5-subgroup of G×H.

Thus, A0.70 is a t-lFSyl5 of G×H.

The following result describes the t-intuitionistic fuzzy version of Sylow's First Theorem.

Theorem 26

(t-Intuitionistic Fuzzification of Sylow's First Theorem). Let At be a t-IFSG of a group G such that O(G)=pkm where p is a prime and k,m are positive integers with (p,m)=1. Assume that p divides At*=H. Then there exists a t-IFSylpBt of G such that BtAt.

Proof. If H is a Sylow p-subgroup, then there is nothing to prove. Assume that H is not a Sylow p-subgroup of G. Let ρ=Min{μAt(a1):μAt(a1)>0,a1G} and η=Max{νAt(a1):νAt(a1)>0,a1G}. Clearly ρ0 and η1. Since G is finite, therefore, C(ρ,η)(At)=At*=H. Since p divides the order of H so by Sylow's first theorem, there exists a Sylow p subgroup L of H. By our assumption, O(L)=pl where 1lk. Further, L will be contained in a subgroup L of G. Consider a t-IFSBt of G as follows:

μBt(z1)={1ρifz1=eifz1L-{e}ρ0ifz1L-Lifz1G-L and νBt(z1)={0ηifz1=eifz1L-{e}η1ifz1L-Lifz1G-L.where 0<ρ,η<1. Note that Bt is t-IFSG of G such that BtAt. Moreover, in view of definition (21), we have Bt is a t-IFSylp of G as Ĉ(ρ,η)(Bt)=L.

Theorem 27

A t-IFCSG of t-IFSylp of a group G is a t-IFSylp of G.

Proof. Let At be a t-IFSylp of a group G and Bt is t-IFC to At of G. In view of definition (19), we have Ć(ρ,η)(Bt)=a11Ć(ρ,η)(At)a1,a1Gρ,η. This implies that Bt*=a11At*a1. Application of the Theorem (26) and using the fact that At is t-IFSylp of G, we have a Sylow p-subgroup H of G contained in At*. Moreover, in view of Sylow's Second Theorem, a11Ha1 being a conjugate of H is itself a Sylow p-subgroup of G. Further, a11Ha1 is contained in a11At*a1 and so Bt is a t-IFSylp of G.

Remark 4

Two distinct t-IFSylp need not be t-IFC to each other.

We describe the above algebraic aspect in the subsequent example.

Example 11

Consider the Sylow 2 subgroup H1 and H2 of S5 as follows: H1=<(12)(35),(1325)> and H2=<(24)(35),(2345)>.

The 0.70IFSGA0.70 and B0.7 of S5 as follows:

μA0.70(z1)={0.700.650.60ifz1=1ifz1(24)(35){1}ifz1(24),(35)(24)(35)0.500.30ifz1(25)(34),(2345)(24),(35)otherwise

and

νA0.70(z1)={0.300.350.40ifz1=1ifz1(24)(35){1}ifz1(24),(35)(24)(35)0.500.60iifz1(25)(34),(2345)(24),(35)otherwise

and

μB0.70(z1)={0.700.650.60ifz1=1ifz1(12)(35){1}ifz1(1325)(12)(35)0.500.30ifz1(12)(35),(1325)(1325)otherwise

and

νB0.70(z1)={0.300.350.40ifz1=1ifz1(12)(35){1}ifz1(1325)(12)(35)0.500.60ifz1(12)(35),(1325)(1325)otherwise

Clearly A0.70 and B0.70 are 0.70IFSyl2 of S5.

Moreover, A0.70 is not 0.7IFC to B0.70 because the level subgroups: Ć(0.6,0.4)(A0.70)=<(24),(35)> is noncyclic and Ć(0.6,0.4)(B0.70)=<(1325)> is cyclic.

The following Theorem describes a t-intuitionistic fuzzy version of Sylow’s Second Theorem.

Theorem 28

(t-Intuitionistic Fuzzification of Sylow Second Theorem). For any two t-lFSylpAt and Bt having the same level subgroups such that Ć(ρ,η)(Bt)=a11Ć(ρ,η)(At)a1, for some fixed a1G, then At and Bt are tIFC to each other.

Proof. Let Ć(ρ,η)(Bt)=a11Ć(ρ,η)(At)a1. Assume that At and Bt are not t-IFC to each other it follows that μAt(b1)>μBt(a11b1a1) and νAt(b1)<νBt(a11b1a1), for a1,b1G (13)

Then b1Ć(ρ,η)(Bt) and a11b1a1Ć(ρ,η)(At). This means that b1a11Ć(ρ,η)(At)a1 and a11b1a1Ć(ρ,η)(At).

This implies that a1b1a11Ć(ρ,η)(At) and a11b1a1Ć(ρ,η)(At). This further implies that (a11b1a1)1Ć(ρ,η)(At) and a11b1a1Ć(ρ,η)(At).

This means that c1Ć(ρ,η)(At) and cĆ(ρ,η)(At).

This shows that Ć(ρ,η)(At) is not a subgroup of G.

Which is a contradiction against relation (13).

Hence, μAt(b1)=μBt(a11b1a1) and νAt(b1)=νBt(a11b1a1), a1,b1G.

We conclude that At and Bt are t-IFC to each other.

Remark 5

Let At and Bt be any two t-lFSylp of a group G and Λ(At)=Λ(Bt) then At and Bt are t-IFC to each other.

The following Theorem describes the t-intuitionistic fuzzy version of Sylow's third Theorem.

Theorem 29

(t-Intuitionistic Fuzzification of Sylow Third Theorem). The number of distinct t-lFSylp of a finite group G is equal to the index of the normalizer of t-IFSylp At in G.

Proof. In view of corollary (7) and using the fact that At is a t-IFSylp, we have

O[Cl(At))]=O(G)O[N(At)]

Consider the collection of all t-lFSylp conjugate to At has

Cl(Ćρ,ηAt=Ćρ,ηBt:a11Ćρ,ηAta1=Ćρ,ηBt,a1G

Consequently, the number of t-lFSylp of G is O(G)O[N(At)].

We illustrate the above algebraic fact in the following example.

Example 12

Consider the finite presentation of the dihedral group D5 of order 10 as follows:

D5=<r,s:r5=s2=1,sr=r4s>

The IFSG of D5 is defined as follows: μA(z1)={10.600.40ifz1=1ifz1<r>{1}ifz1D5<r> and νA(z1)={00.400.50ifz1=1ifz1<r>{1}ifz1D5<r>.

The tIFSG At of D5 corresponding to the value t=0.70 is given by: μA0.70z1={0.700.600.40ifz1=1ifz1<r>1ifz1D5<r> and νA0.70z1={0.300.400.50ifz1=1ifz1<r>1ifz1D5<r>.

By using definition (3), we have

C0.6,0.4A0.70=<r>,

which is a 0.70lFSyl5 of D5.

The class of 0.70lFSyl5 of D5 is

Cl<r>=<r>.

The 0.70 intuitionistic fuzzy normalizer of 0.70IFSyl5 of D5 is

NA0.70=D5.

In view of Theorem (29), we have only one 0.70lFSyl5 of A0.70 in D5.

The subsequent results show that a t-intuitionistic fuzzy normal Sylow p subgroup of a G is unique.

Theorem 30

Let At and Bt be any two t-lFSylp of a group G. If At is t-IFSG of a group G, then AtBt. Moreover, if Λ(At)=ΛBt then At=Bt.

Proof. If O(G) is a power of p, then the case is obvious. Assume that O(G) is not a power of p.

Consider μAt(e)=ρ,νAt(e)=η and μBt(e)=ρ,νBt(e)=η. Then Ć(ρ,η)(At) and Ć(ρ,η)(Bt) are tIFSylp of G. Since At is a tIFNSG. By using Theorem (2), we have Ć(ρ,η)(At) is a normal subgroup of G. Consequently, Ć(ρ,η)(At) =Ć(ρ,η)(Bt). This shows that ΛAt=Λ(Bt)). We obtain that AtBt. From Theorem (19), we get At=Bt.

In the following Theorem, we establish a unique tIFSylp of G is a t-IFNSG of group G.

Theorem 31

For any tIFSylp At of a group G. If AtBt BtΩ where Ω is the collection of all tIFSylp of group G then At is a tIFNSG of G.

Proof. According to the Theorem (2), we obtain that Ć(ρ,η)(At) is a normal subgroup of G and the fact that ΛAt=ΛBt,BtΩ.

7. Conclusion and future scopes

The t-intuitionistic fuzzy form of Sylow's theorem may be applied in real-world situations with subgroup analysis uncertainty, ambiguity, and imprecision. This approach improves decision-making, data analysis, optimization, and social network analysis, allowing for a complete knowledge of real-life scenarios with unpredictable group structures. In this article, we have introduced the concept of t IFC element. After, we initiated the t-intuitionistic fuzzy conjugacy classes of t-IFSG. Moreover, the fundamental algebraic attributes of these phenomena were derived. Additionally, the class equation for t-IFSG was explained, along with an example. This paper has established the theory to formulate the t-intuitionistic fuzzy version of Sylow's theorems of t-IFSG of a finite group.

The theory presented in this article can be generalized to high-level uncertain environments, specifically t-picture fuzzy environments, t-spherical fuzzy environments, t-linear Diophantine fuzzy environments, and many more. Furthermore, we will apply the concept of t IFSG in the fields of cryptography and image processing in our future work.

Author contribution statement

Laila Latif: Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; wrote the paper.

Umer Shuaib: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data.

Additional information

No additional information is available for this paper.

Data availability statement

Data included in article/supplementary material/referenced in article.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

No funding was used in this study.

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