In this manuscript, we generalized the notions of three-way decisions (3WD) and decision theoretic rough sets (DTRS) in the framework of Complex q-rung orthopair 2-tuple linguistic variables (CQRO2-TLV) and then deliberated some of its important properties. Moreover, we considered some very useful and prominent aggregation operators in the framework of CQRO2-TLV, while further observing the importance of the generalized Maclurin symmetric mean (GMSM) due to its applications in symmetry analysis, interpolation techniques, analyzing inequalities, measuring central tendency, mathematical analysis and many other real life problems. We initiated complex q-rung orthopair 2-tuple linguistic (CQRO2-TL) information and GMSM to introduce the CQRO2-TL GMSM (CQRO2-TLGMSM) operator and the weighted CQRO2-TL GMSM (WCQRO2-TLGMSM) operator, and then demonstrated their properties such as idempotency, commutativity, monotonicity and boundedness. We also investigated a CQRO2-TL DTRS model. In the end, a comparative study is given to prove the authenticity, supremacy, and effectiveness of our proposed notions.
Citation: Zeeshan Ali, Tahir Mahmood, Muhammad Bilal Khan. Three-way decisions with complex q-rung orthopair 2-tuple linguistic decision-theoretic rough sets based on generalized Maclaurin symmetric mean operators[J]. AIMS Mathematics, 2023, 8(8): 17943-17980. doi: 10.3934/math.2023913
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In this manuscript, we generalized the notions of three-way decisions (3WD) and decision theoretic rough sets (DTRS) in the framework of Complex q-rung orthopair 2-tuple linguistic variables (CQRO2-TLV) and then deliberated some of its important properties. Moreover, we considered some very useful and prominent aggregation operators in the framework of CQRO2-TLV, while further observing the importance of the generalized Maclurin symmetric mean (GMSM) due to its applications in symmetry analysis, interpolation techniques, analyzing inequalities, measuring central tendency, mathematical analysis and many other real life problems. We initiated complex q-rung orthopair 2-tuple linguistic (CQRO2-TL) information and GMSM to introduce the CQRO2-TL GMSM (CQRO2-TLGMSM) operator and the weighted CQRO2-TL GMSM (WCQRO2-TLGMSM) operator, and then demonstrated their properties such as idempotency, commutativity, monotonicity and boundedness. We also investigated a CQRO2-TL DTRS model. In the end, a comparative study is given to prove the authenticity, supremacy, and effectiveness of our proposed notions.
Numerous applications of algebraic theory can be found not only in theoretic and practical mathematics such as game theory, algebraic geometry, etc. but also in other scientific disciplines like physics, genetics, and engineering. Group theory is a fundamental branch of algebra that investigates the properties and structures of various groups. It plays a central role in various areas of mathematics, such as physics, chemistry, and computer science, including cryptography, algebraic geometry, algebraic number theory, harmonic analysis, etc.[1,2,3,4,5,6,7]. Life is filled with unpredictability, which is impossible to avoid. This universe is also not built on accurate measurements or suppositions. Sometimes, the classical mathematical framework of probability is unable to handle every situation. The novel idea of fuzzy sets introduced by Zadeh [8], is briefly explained by the uncertainty, vagueness, and ambiguity of data. A wide range of academics from other disciplines have used this idea because it was so inspirational. By taking fuzzy sets and logic into consideration, a number of novel theories are developed in parallel with traditional approaches. In 1970, Rosenfeld [9] proposed the fuzzy concepts into group theory, and classified the outcomes as fuzzy subgroup. The discussion of the fuzzy subgroups, fuzzy quotient groups, and fuzzy normal subgroups are also done in this research work. Ray [10] pioneered the idea of cartesian product of a the fuzzy subgroups. In 1986, Atanassov [11] published his first article on intuitionistic fuzzy (IF) sets, which is an extension of fuzzy sets, and introduced certain operations, like subtraction, addition, composition union, and intersection under the influence of the intuitionistic fuzzy set. Biswas introducced the IF subgroup with basic findings [12], and Sharma investigated some fundamental results of the IF subgroup. Also, IF homomorphism is under the influence of group theory [13,14].
Gulzar et al.[15] established a new category of t-IF-subgroups. The explanation of the t-IF centralizer, normalizer, and t-intuitionistic Abelian subgroups are also discussed. Intuitionistic fuzzy set techniques have acquired importance over fuzzy set techniques in recent years throughout a number of technical fields. The distance measurements approach is used in a variety of applications of IF sets. Researcher have used IF sets in a variety of situations in clinical diagnosis, medical application, etc. It plays a very important role in engineering issues, professional selection, real-life issues, and education. In 2001, Supriya et al. [16,17,18] studied the Sanchez's approach for medical diagnosis and extended this theory with the notion of the IF set theory.
Biswas [19] presented the principle of anti-fuzzy subgroups and initiated the fundamental algebraic structures. The fundamental results of anti-fuzzy subgroup are discussed and the relationships between complements of fuzzy subgroup and anti-fuzzy subgroup are also addressed [20]. In 2013, Azam et al.[21] introduced a few basic operations and structures of anti-fuzzy ideals of ring. Gang [22] introduced the factor rings and investigated some results. In 1999, Kim and Jun [23] developed the novel idea of anti fuzzy R-subgroups of near rings, and Kim et al.[24] initiated the anti-fuzzy ideals in near rings, discussed basic algebraic properties, and established the relation between the near rings and anti-fuzzy sets. Sharma [25] developed the definition of α-anti fuzzy subgroup and explored the fundamental algebraic structure of the α-anti-fuzzy subgroup. In addition, the techniques of the α-anti-fuzzy normal subgroups and quotient group of α-anti-fuzzy cosets are also explained. In 2022, Razaq [26] introduced the concept of Pythagorean fuzzy normal subgroups, Pythagorean fuzzy isomorphism, and developed the basic characteristics of Pythagorean fuzzy normal subgroups and proved the fascinating results of Pythagorean fuzzy isomorphism. Moreover, they looked at the concept of Pythagorean fuzzy ideas and investigated some results [27]. Xiao et. al [28] presented the q-ROFDM model with new score function, and the best-worst methods for manufacturer selection also discussed the fuzzy criteria weights, and several comparisons are conducted to illustrate the developed model.
Sharma [29] applied the fundamental properties of group theory to the (α,β)-anti fuzzy set and introduced the (α,β)-anti-fuzzy subgroup, which is an extension of the (α,β)-anti fuzzy set. They also, demonstrated the basics of the result of the (α,β)-anti-fuzzy subgroup and certain features of this ideology are discussed. Moreover, they investigated the homomorphic images and pre-images of certain group. Wan et al. [30] presented the method for interactive and complementary feature selection via fuzzy multigranularity uncertainty measures and compared them with the benchmark approaches on several datasets.
Further, changes in the process (periodicity) of the data overlap with uncertainty in our daily lives and ambiguity in the data. Due to the insufficiency of current hypotheses that provide explanations for the information, data is lost during the process. Ramot et al. [31,32] initiated a complex fuzzy set (CFS) to deal with the problem by extending the range of the membership function from real numbers to complex numbers with the unit disc. Because the CFS considers only the degree of membership than the non-membering part of data entities, which also play an equal role in the decision-making process for evaluating the system, it only gives weight to the degree of membership. However, it is frequently difficult to describe membership degree estimation by a fuzzy set's accurate value in the real world. This may reflect using two-dimensional information than one in these circumstances, when it may be simpler to reflect the vagueness and ambiguity that exist in the real world. Given that uncertainties are uneasy to be evaluated in the complex problem of decision-making, an expansion of the existing theories may therefore be very helpful for explaining uncertainties. To address this, Alkouri and Salleh [33,34] examined the fundamental features of complex intuitionistic fuzzy sets and extended the definition of CFSs to consist of complex degrees of non-membership functions.
Furthermore, Gulzar et al. [35] introduced the idea of Q-complex fuzzy subrings and covered some of their basic algebraic features. Additionally, the examine the homomorphic image and invert image of Q-complex fuzzy subrings, and enlarge this concept to develop the concept of the direct product of two Q-complex fuzzy subrings. Hanan et al. [36] started the abstraction of (α,β)-CFSs and defined (α,β)-complex fuzzy subgroups (CFSG). After that, they established that each CFSG is a (α,β)-CFSG and defined (α,β)-complex fuzzy normal subgroups of a given group. This concept is expanded to define (α,β)-complex fuzzy cosets, and some of their algebraic properties are examined.
The following are the motivation of this novel work.
1) Biswas [19] presented the principle of anti-fuzzy subgroups and initiated the fundamental algebraic structures. Sharma [25] developed the definition of α-anti fuzzy subgroup and explored the fundamental algebraic structure of α-anti-fuzzy subgroup. Sharma [29] applied the fundamental properties of group theory to the (α,β)-anti fuzzy set and introduced (α,β)-anti-fuzzy subgroup, which is an extension of the (α,β)-anti fuzzy set.
2) Ramot et al. [31,32] initiated a CFS to deal with the problem by extending the range of the membership function from real numbers to complex numbers with the unit disc. Because the CFS considers only the degree of membership than the non-membering part of data entities, which also play an equal role in the decision-making process for evaluating the system, it gives weight only to the degree of membership.
3) The proppsed method is (ϵ,δ)-CAFSG. is a generalized form of CAFSG. The motivation for the recommended concept is expressed as follows: (1) To communicate a general concept such as the (ϵ,δ)-CAFSG; (2) For ϵ=1 and δ=2π, the idea that we propose can be convert into a classical CAFS. As a effective generalization of fuzzy subgroups, the (ϵ,δ)-CAFSGs are the subject of this article investigation.
1) To propose the concept of (ϵ,δ)-CAFSs, examine the (ϵ,δ)-CAFSG in the context of CAFSs and prove that every complex fuzzy subgroup is a (ϵ,δ)-CAFSG.
2) To define (ϵ,δ)-CAF cosets and (ϵ,δ)-CAFNSGss of a certain group, as well as to investigate some algebraic properties under the (ϵ,δ)-CAFSG. We elaborate the (ϵ,δ)-CAFSG of the classical quotient group.
3) To demonstrate the index of (ϵ,δ)-CAFSG and (ϵ,δ)-complex anti-fuzzification of the Lagrange theorem corresponding to the Lagrange theorem of classical group theory.
This paper is organized as follows: Section 1 introduces the fundamental concepts of complex anti fuzzy sets, complex anti fuzzy subgroups, and related features. In Section 2, we construct (ϵ,δ)-CAFS and (ϵ,δ)-CAFSG as generalizations of CAFSG. We show that any complex anti fuzzy subgroup is also a (ϵ,δ)-CAFSG, and examined some of the essential aspects of these newly define CAFSGs. In Section 3, the (ϵ,δ)-CAF cosets and (ϵ,δ)-CAFNSGss are describe and various algebraic properties of these particular groups are investigate. Furthermore, we discuss (ϵ,δ)-complex anti fuzzy quotient groups (CAFQG) and establish the quotient group with regard to (ϵ,δ)-CAF cosets. The indices of the (ϵ,δ)-CAFSG is define and the (ϵ,δ)-complex anti fuzzification of Lagrange's theorem is develop.
We start by analyzing the fundamental idea of CAFSs and CAFSGs, both are essential for study.
Definition 2.1. [8] If H is universal set and x is an arbitrary element of H then an anti-fuzzy set φ is define as φ={(x,λ),x∈H}, where λ is a non membership function and λ∈[0,1].
Definition 2.2. [37] A CFS S of a universe set H, characterized by the degree of membership θS(l)=νS(l)eiηS(l) and is defined as θS:l→{l∈H:|l|≤1},H is complex plain. Whose range is not limited to [01] but extens to unit circle in complex plane, where i=√−1,νS(l) and ηS(l) are both real valued including νS(l)∈[0,1] and ηS(l)∈[0,2π]. As for purpose of simplicity, we will employ νS(l)eiηS(l) membership function for complex fuzzy set S.
Definition 2.3. [11] Assume that S={(l, ρS(l)): l∈H} be a anti fuzzy subset where H is a universal set. Now the set
Sπ={(l,ϑSπ(l)):ϑSπ(l)=2πρS(l),l∈G} |
is called π-anti fuzzy subset.
Definition 2.4. [11] A π-anti fuzzy set Sπ of group G is known as π-anti fuzzy subgroup of G if the following conditions are satisfied
(ⅰ) Sπ(lm)≤max{Sπ(l),Sπ(m)}, ∀ l,m ∈ G,
(ⅱ) Sπ(l−1)≤Sπ(l), ∀ l,m∈ G.
Definition 2.5 [11] Assume S={(l,νS(l)eiηS(l)):l∈G} and T={(l,νT(l)eiηT(l)):l∈G} are both CAFSs of G. Then
(ⅰ) A CAFS S is homogeneous CAFS, if ∀ l,m∈G, we have νS(l)≤νS(m) if and only if ηS(l)≤ηS(m).
(ⅱ) A CAFS A is homogeneous complex anti fuzzy set with B, if ∀ p,q∈G, we have νA(p)≤νB(p) if and only if ηA(p)≤ηB(p).
Definition 2.6. [35] Let S={(l,νS(l)eiηS(l)):l∈G} and T={(l,νT(l)eiηT(l)):l∈G} be a CAF subsets of set G. Then intersection and union of S and T is examined as:
(ⅰ) (S∩T)(l)=νS∩T(l)eiηS∩T(l)=max{νS(l)eiηS(l),νS(l)eiηS(l)}, ∀ l∈L.
(ⅱ) (S∪T)(l)=νS∪T(l)eiηS∪T(l)=min{νS(l)eiηS(l),νS(l)eiηS(l)}, ∀ l∈L.
Definition 2.7. [11] Let S be aCAFS of group G. Then S is know as CAFSG of group G, if the following criteria are fulfilled.
(ⅰ) νS(lm)eiηS(lm)≤max{ νS(l)eiηS(l), νS(m)eiηS(q)} ,
(ⅱ) νS(l−1)eiηS(l−1)≤νS(l)eiηS(l) for all l,m∈G.
Definition 2.8. [11] A complex anti fuzzy set S of group G is said to be CAFNSG of group G, if: νS(lm)eiηS(lm)=νS(ml)eiηS(ml), for all l,m∈G.
Definition 2.9. [25] Let S be a anti fuzzy subset of a group G. Then anti fuzzy set Sϵ of G is known as ϵ-anti fuzzy subset of G, where ϵ∈[0,1] and define as Sϵ(p)=max{S(p),1−ϵ} for all p∈G.
Some results:
(ⅰ) (ⅰ) Let S and T be two anti fuzzy subsets of X. Then
(S∪T)ϵ=Sϵ∪Tϵ.
(ⅱ) (ⅱ) Suppose g : L→M be a mapping and S and T be two anti fuzzy subsets of L and M sequentially, then
(a) g−1(Tϵ)=(g−1(T))ϵ,
(b) g(T)ϵ=(g(T))ϵ.
Definition 2.10. [38] Suppose Sϵ and Sδ respectively indicate, the ϵ- fuzzy set and δ-anti fuzzy set of L, where L is universal set. Then the anti fuzzy set S(ϵ,δ) is define by
S(ϵ,δ)(u) = min{u,(Sϵ)c(u),Sδ(u)}∀u∈L and is called S(ϵ,δ)-anti fuzzy set of L due respect the fuzzy set S, where ϵ,δ∈[0,1] such that ϵ+δ≤1.
Remark 2.11.
(ⅰ) S(0,1)(u) = min{(S1)c(u),S0(u)} = min{Sc(u),1}=1,
(ⅱ) S(0,1)(u) = min{(S0)c(u),S1(u)} = min{1,Sc(u)}=1.
Now this section introduces the (ϵ,δ)-CAFS and (ϵ,δ)-CAFSGs methodology. We establish that any complex fuzzy subgroup is also a (ϵ,δ)-CAFSG but the converse does not hold and we explore certain fundamentals categorization of this phenomena.
Definition 3.1. Let S={(l,μS(l)eiηS(l)):l∈G} be CAFS of group G, for any ϵ∈[0,1] and δ∈[0,2π], such that μS(l)≥ϵ and ηS(l)≥δ or (νS(l)≤ϵ and ηS(l)≤δ). Then, the set S(ϵ,δ) is called (ϵ,δ)-CAFSt and defined as: νSϵ(l)eiηSδ(l)=max{νS(l)eiηSδ(l), ϵeiδ} =max{νS(l), ϵ}eimax{ηS(l), δ} , where νSϵ(l)=max{νS(l),ϵ} and ηSδ(l)=max{ηS(l),δ}.
Throughout manuscript, we will focused on the non-membership function of (ϵ,δ)-CAFSs S(ϵ,δ) and T(ϵ,δ) such as νSϵ(l)eiηSδ(l) and νTϵ(l)eiηTδ(l), respectively.
Definition 3.2. Let S(ϵ,δ) and T(ϵ,δ) be a two (ϵ,δ)-CAFSs of G. Then
(ⅰ) A (ϵ,δ)-CAFS S(ϵ,δ) is homogeneous (ϵ,δ)-CAFS, for all l,m∈G, we have νSϵ(l)≥νSϵ(m) if and only if ηSδ(l)≥ηSδ(m).
(ⅱ) A (ϵ,δ)-CAFS S(ϵ,δ) is homogeneous (ϵ,δ)-CAFS with T(ϵ,δ), for all l,m∈G, such that νSϵ(l)≥νTϵ(l) if and only if ηSδ(l)≥ηTδ(l).
In this research article, we use (ϵ,δ)-CAFS as homogeneous (ϵ,δ)-complex anti fuzzy set.
Remark 3.3. By taking the values of ϵ=1 and δ=2π in the given definition, we obtain the classical CAFS S.
Remark 3.4. Let S(ϵ,δ) and T(ϵ,δ) be two (ϵ,δ)-CAFSs of group G. Then (S∩M)(ϵ,δ)=S(ϵ,δ)∩T(ϵ,δ).
Definition 3.5. Let S(ϵ,δ) be an (ϵ,δ)-CAFS of group G for ϵ∈[0,1] and δ∈[0,2π]. Then S(ϵ,δ) is known as (ϵ,δ)-CAFSG of group G, if it satisfy the following conditions:
(ⅰ) νSϵ(lq)eiηSδ(lq)≥max{ νSϵ(l)eiηSδ(l), νSϵ(q)eiηSδ(q)} ,
(ⅱ) νSϵ(l−1)eiηSδ(l−1)≤νSϵ(l)eiηSδ(l) for all l,m∈G.
Theorem 3.6. If S(ϵ,δ) is an (ϵ,δ)-CAFSG of group G, for all l,m∈G. Then
(i) νSϵ(l)eiηSδ(l)≥νSϵ(e)eiηSδ(e),
(ii) νSϵ(lm−1)eiηSδ(lm−1)=νSϵ(e)eiηSδ(e).
It suggests that νSϵ(l)eiηSδ(l)=νSϵ(m)eiηSδ(m).
The proof of this theorem is straightforward.
Now, in this theorem we show that CAFNSG is a spacial case of (ϵ,δ)- CAFNSG.
Theorem 3.7. Every CAFSG of the group G is also a (ϵ,δ)-CAFSG of G.
Proof. Assume that S be CAFSG of group G, for every l,m∈G. Suppose that
νSϵ(lm)eiϵSδ(lm)=max{νS(lm)eiϵS(lm), ϵeiδ} |
≤max{max{νS(l)eiϵS(l), νS(m)eiϵS(m)} , ϵeiδ} =max{max{νS(l)eiϵS(l),ϵeiδ} ,max{νS(m)eiϵS(m), ϵeiδ} }=max{νSϵ(l)eiϵSδ(l),νSϵ(m)eiϵSδ(m)} . |
Further, we assume that
νSϵ(l−1)eiϵSδ(l−1)=max{ νS(l−1)eiϵS(l−1),ϵeiδ } ≤max{ νS(l)eiϵS(l),ϵeiδ } =νSϵ(l)eiϵSδ(l). |
This established the proof.
Remark 3.8. If S(ϵ,δ)-CAFSG then it is not essential S is CAFSG.
Example 3.9. The Klein four group is referred by G={e,l,m,lm}. It can be written as S= {<e, 0.2eiπ12>,<l,0.4eiπ6>,<m,0.4eiπ6>, <lm, 0.3eiπ7>} is not CAFSG of G. Take ϵ=0.2 and δ=π6. Then, it's simple to see νS(l)eiηS(l)>ϵeiδ, for all l∈G. Moreover, we have νSϵ(l)eiηSδ(l)= ϵeiδ, ∀ l∈G. Therefore, νSϵ(lm)eiηSδ(lm)≤max{νSϵ(l)eiηSδ(l), νSϵ(m)eiηSδ(m)}, ∀l,m∈G. Furthermore, l−1=l, m−1=m, (lm)−1=lm. So, νSϵ(l−1)eiηSδ(l−1)≥ νSϵ(l)eiηSδ(l). Hence, S(ϵ,δ) is (ϵ,δ)-CAFSG.
Theorem 3.10. Let S be a complex anti fuzzy set of group G such that νS(l−1)eiϵS(l−1)=νS(l)eiϵS(l),∀ l∈G. Let ϵeiδ≥reiθ such that ϵ≥r and δ≥θ, where reiθ=max{νS(l)eiϵS(l):l∈G} and ϵ,r∈[0,1] and δ,θ∈[0,2π]. Then S(ϵ,δ) is an (ϵ,δ)-CAFSG of G.
Proof. Note that ϵeiδ≥reiθ. Implies that max{νS(l)eiϵS(l) :l∈G}≤ ϵeiδ. This indicates max{νS(l)eiϵS(l),ϵeiδ}= ϵeiδ, for all l∈G. Implies that νSϵ(l)eiϵSδ(l)=ϵeiδ.
νSϵ(lm)eiϵSδ(lm)≤max{νSϵ(l)eiϵSδ(l),νSϵ(m)eiϵSδ(m)}.Moreover,νS(l−1)eiϵS(l−1)=νS(l)eiϵS(l),∀ l∈G.Implies that,νSϵ(l−1)eiϵSδ(l−1)=νSϵ(l)eiϵSδ(l). |
Hence, S(ϵ,δ) is (ϵ,δ)-CAFSG of G.
Theorem 3.11. Intersection of two (ϵ,δ)-CAFSGs of G is also (ϵ,δ)-CAFSG of G.
Proof. Let S(ϵ,δ) and T(ϵ,δ) be two (ϵ,δ)-CAFSGs of G, for any l,m∈G.
Consider,
ν(S∩T)ϵ(lm)eϵ(S∩T)δ(lm)=ν(Sϵ∩Tϵ)(lm)eiϵSδ∩Tδ(lm)
=max{νSϵ(lm)eiϵSδ(lm), νTϵ(lm)eiϵTδ(lm)}≤max{max{νSϵ(l)eiϵSδ(l), νSϵ(m)eiϵSδ(m)} ,max{νTϵ(l )eiϵTδ(l) νTϵ(m)eiϵTδ(m)} .}=max{max{νSϵ(l)eiϵSδ(l),νTϵ(l)eiϵTδ(l)} ,max{νSϵ(m)eiϵTδ(m),νTϵ(m)eiϵTδ(m)}.}=max{ν(Sϵ∩Tδ)(l)eiϵ(Sδ∩Tδ)(l), ν(Sϵ∩Tδ)(m)eiϵ(Sδ∩Tδ)(m)} =max{ν(S∩T)ϵ(l)eiϵ(S∩T)δ(l),ν(S∩T)ϵ(m)eiϵ(S∩T)δ(m)} . |
Further,
ν(S∩T)ϵ(l−1)eϵ(S∩T)δ(l−1)=νSϵ∩Tϵ(l−1)eiϵ(Sδ∩Tδ)(l−1)
=max{νSϵ(l−1)eiϵSδ(l−1), νTϵ(l−1)eiϵTδ(l−1)}≤max{νSϵ(l)eiϵSδ(l), νTϵ(l)eiϵTδ(l)}=ν(S∩T)ϵ(l)eϵ(S∩T)δ(l). |
Consequently, S(ϵ,δ)∩T(ϵ,δ) is (ϵ,δ)-CAFSG of G.
Corollary 3.12. Intersection of a family of (ϵ,δ)-CAFSGs of G is also (ϵ,δ)-CAFSG.
Remark 3.13. Union of two (ϵ,δ)-CAFSGs may not be a (ϵ,δ)-complex anti fuzzy subgroup.
Example 3.14. Assume that a symmetric group S4 with permutation of four elements{(1),(2 3),(2 3 4),(2 4 3),(3 4),(2 4), (1 2),(1 2 4),(1 2 3),(1 2 3 4),(1 2)(3 4),(1 2 4), (1 3 2),(1 3 4 2),(1 3),(1 3 4),(1 3 2 4), (1 3)(2 4),(1 4 3 2),(1 4 2),(1 4 3), (1 4),(1 4 2 3),(1 4)(2 3)}. Define two (ϵ,δ)-CAFSGs S(0.9,π/2) and T(0.6,π/2) of S4 for value ϵeiδ=0.9eπ are delivered as:
S(0.9,π/2)(l)={0.8eπ/4, if l∈<(1 3)>0.7eπ/6, otherwise and
T(0.9,π/2)(l)={0.9eπ/2, if l∈<(1 3 2 4)>0.6eπ/7, otherwise
indicates that (S(0.9,π/2)∪T(0.9,π/2))(l)={0.8eπ/4, if l∈<(1 3 2 4)>∩<(1 3)> 0.7eπ/6, if l∈<(1 3 2 4)>−e 0.6eπ/7, if l∈<(1 3)>−e
Take l=(1 2)(3 4), m=(1 3) and lm=(1 2 3 4). Moreover, (S(0.9,π/2)∪T(0.9,π/2))(l)=0.7eπ/6. (S(0.9,π/2)∪T(0.9,π/2))(l)=0.6eπ/7 and (S(0.9,π/2)∪T(0.9,π/2))(lm)=0.6eπ/7.
We can clearly observe that (S(0.9,π/2)∪T(0.9,π/2))(lm)≰max{(S(0.9,π/2)∪Tt(0.9,π/2))(l),(S(0.9,π/2)∪T(0.9,π/2))(m)}. So, this establishes the assertion.
The algebraic features of (ϵ,δ)-CAFNSGs are explore in this section. We investigate (ϵ,δ)-CAF cosets of (ϵ,δ)-CAFSGs and create a quotient framework that focuses on these CAFNSGs. The (ϵ,δ)-CAFSG of the classical quotient group is also discussed and several key characteristics of these CAFNSGs are illustrated.
Definition 4.1. Suppose that S(ϵ,δ) be an (ϵ,δ)-CAFSG of group G, as ϵ∈[0,1] and η∈[0,2π]. Then (ϵ,δ)-CAFS lS(ϵ,δ)(w)={(w,νlSϵ(w)eiηlSη(w)), w∈G} of G is known as a(ϵ,δ)-CAF left coset of G examine by S(ϵ,δ) and is define as:
νlSϵ(w)eiηlSη(w)=νSϵ(l−1w)eiηSη(l−1w)=max{νS(l−1w)eiηS(l−1w),ϵeiδ},∀w,l∈G. |
In same way we explain (ϵ,δ)-CAF right coset S(ϵ,δ)w={(w,νSϵl(w)eiηSδl(w)), w∈G} of of G determine by S(ϵ,δ) and l also define as : νSϵl(w)eiηSδl(w)=νSϵ(wl−1)eiηSδ(wl−1)=max{νS(wl−1)eiηS(wl−1), ϵeiδ} , for all w l∈G.
The next given example demonstrates the concept of (ϵ,δ)-CAF cosets of S(ϵ,δ).
Example 4.2. Take G={(1),(1 3),(1 2)(3 4),(2 4),(1 4)(2 3),
(1 4 3 2),(1 3)(2 4),(1 2 3 4)} a symmetric group with 8 elements represent (ϵ,δ)-CAFSG of G only when ϵ=0.4 and δ=π/6 as follows: S(0.4,π/6)(w)
={0.9eπifw∈{(1 3)(2 4),(1)}0.8eπ/3,ifw∈{(1 2)(3 4),(1 4)(2 3)},0.7eπ/5,ifw∈{(2 4),(1 3),(1 2 3 4),(1 4 3 2)} |
From the definition of cosets we have
νlS(0.4,π/6)(w)eηlS(0.4,π/6)(w)=νS(0.4,π/6)(l−1w)eηS(0.4,π/6)(l−1w).
Thus, (0.4,π/6)-CAF left coset of S(0.4,π/6)(w) in G for l=(2 4) as seen below: lS(0.4,π/6)(w)
={0.9eπifw∈{(1 3)(2 4),(1)}0.8eπ/3,ifw∈{(1 4)(2 3),(1 2)(3 4)}0.6eπ/5,ifw∈{(2 4),(1 4 3 2),(1 3),(1 2 3 4)}. |
In same way, (0.4,π/6)-CF right coset of S(0.4,π/6)(w) is find, for every l∈G.
Definition 4.3. Let S(ϵ,δ) be an (ϵ,δ)-CAFSG of group G, where ϵ∈[0,1] and δ∈[0,2π].Therefore S(ϵ,δ) is known as (ϵ,δ)-CAFNSG of G if S(ϵ,δ)(lm)=S(ϵ,δ)(ml). Equivalently, (ϵ,δ)-CAFSG S(ϵ,δ) is (ϵ,δ)-CAFNSG of group G if: S(ϵ,δ)l(m)=lS(ϵ,δ)(m), for all l, m∈G.
Note that each (1,2π)-CAFNSG is a classical CAFNSG of G.
Remark 4.4. Let S(ϵ,δ) be an (ϵ,δ)-CAFNSG of the group G. Then S(ϵ,δ)(m−1lm)=S(ϵ,δ)(l), for all l,m∈G.
Theorem 4.5. If S is CAFNSG of group G. Then S(ϵ,δ) is (ϵ,δ)- CAFNSG of G.
Proof. Assume that w,l arbitrary of elements of G. Consequently, we have νS(l−1w)eiηS(l−1w)=νS(xl−1)eiηS(wl−1), This implies that, {νS(l−1w)eiηS(l−1w),ϵeiδ}=max{νS(wl−1)eiηS(wl−1),ϵeiδ}
we obtain, νlSϵ(w)eiηlSδ(w)=νSϵl(w)eiηSδl(w). we get lS(ϵ,δ)(w)=S(ϵ,δ)l(w). Consequently, S(ϵ,δ) is (ϵ,δ)-CAFNSG of G. In most circumstances, the converse of the following outcome is not valid. This fact is discuss in given bellow example.
Example 4.6. Suppose G=D3 =<l,m: l3=m2=e, ml=l2m> be the Dihedral group. Suppose that S be a complex anti fuzzy set of G and described as:
S={0.5eπ/4ifw∈<m>,0.3eπ/8ifw∉<m>. |
Note that S is not a complex anti fuzzy normal subgroup of group G. For νS(l2(lm))eiηS(l2(lm))= 0.5e π/4≠ 0.3eπ/8=νS((lm)l2)eiηS((lm)l2). Now we take ϵeiδ=0.6eiπ/3, we get νlS0.6(w)eiηwSπ/3=max{νS(l−1w)eiηS(l−1w),0.6eiπ/3}=0.6eiπ3 = max{νS(wl−1)eiηS(wl−1),0.6eiπ/3} =νS0.6l(w)eiηSπ/3(w).
Next, we show that each (ϵ,δ)- CAFSG of group G will be (ϵ,δ)- CAFNSG of group G, include some particular values of ϵ and δ. The following outcomes are illustrate in this direction.
Theorem 4.7. Let S(ϵ,δ) be (ϵ,δ)-CAFSG of group G as a result ϵeiδ>reiθ , ϵ≥r and δ≥θ, where reiθ=max{µS(w)eiηS(w),∀ w∈G } and r, ϵ∈[0,1] and δ,θ∈[0,2π]. So S(ϵ,δ) be (ϵ,δ)−CAFNSG of the group G.
Proof. Given that ϵeiδ≥reiθ . This implies max{νS(w)eiηS(w): for all w∈G} ≤ϵeiδ. This shows νS(w)eiηS(w)≤ϵeiδ, for all w∈G. So, νlSϵ(w)eiηlSδ(w)=max{νS(l−1w)eiηS(l−1w), ϵeiδ} =ϵeiδ, for any w∈G. Similarly, νSϵl(w)eiηSδl(w)=max{νS(wl−1)eiηS(wl−1), ϵeiδ} =ϵeiδ. Implies that νlSϵ(w)eiηlSδ(w)=νSϵl(w)eiηSδl(w). Hence, it proved the result.
Theorem 4.8. Let S(ϵ,δ) be (ϵ,δ)- CAFNSG of group G. Then the set Se(ϵ,δ)={w∈G:S(ϵ,δ)(w−1)=S(ϵ,δ)(e)} is normal subgroup of group G.
Proof. Obviously Se(ϵ,δ)≠η because e∈G. Let w,v∈Se(ϵ,δ) be any elements. Consider, νSϵ(wv)eiηSδ(wv)≤max{νSϵ(w)eiηSδ(w),νSϵ(v)eiηSδ(v) } =max{νSϵ(e)eiηSδ(e),νSϵ(e)eiηSδ(e)} . Implies that νSϵ(wv)eiηSδ(wv)≤νSϵ(e)eiηSδ(e). However, νSϵ(wv)eiηSδ(wv)≥νSϵ(e)eiηSδ(e). Therefore, νSϵ(wv)eiηSδ(wv)= νSϵ(e)eiηSδ(e). It implies that S(ϵ,δ)(w−1)=S(ϵ,δ)(e). It implies that wv∈Se(ϵ,δ). Further, νSϵ(v−1)eiηSδ(v−1)≤νSϵ(v)eiηSδ(v)=νSϵ(e)eiηSδ(e). But νSϵ(w)eiηSδ(w)≥νSϵ(e)eiηSδ(e). Thus Se(ϵ,δ) is subgroup of group G. Moreover, let w∈Se(ϵ,δ)and ∈G. We have νS(ϵ,δ)(v−1wv)eiηS(ϵ,δ)(v−1wv)=νS(ϵ,δ)(w)eiηS(ϵ,δ)(w). It implies that y−1wv∈Se(ϵ,δ). Hence, Se(ϵ,δ) is a normal subgroup.
Theorem 4.9. Assume that S(ϵ,δ) be an (ϵ,δ)- CAFNSG of group G. Then
(i) lS(ϵ,δ)=mS(ϵ,δ) if and only if l−1m∈Se(ϵ,δ),
(ii) S(ϵ,δ)l =S(ϵ,δ) m if and only if lm−1 ∈Se(ϵ,δ).
Proof. For any l,m∈G, we have lS(ϵ,δ)=mS(ϵ,δ). Assume that,
νSϵ(l−1m)eiηSδ(l−1m)=max{νS(l−1m)eiηS(l−1m),ϵeiδ}
=max{νlS(m)eiηlS(m),ϵeiδ} =νlSϵ(m)eiηlSδ(m)=νmSϵ(m)eiηmSδ(m)=max{νS(m−1m)eiηδ(m−1m),ϵeiδ}=max{νS(e)eiηS(e),ϵeiδ}= νSϵ(e)eiηSδ(e). |
Therefore, l− 1m∈Se(ϵ,δ).
Conversely, let l−1m∈Se(ϵ,δ) then νSϵ(l−1m)eiηSδ(l−1m)=νSϵ(e)eiηSδ(e).
Consider
νlSϵ(a)eiηlSδ(a)=max{νS(l−1a)eiηS(l−1a),ϵeiδ}
=νSϵ(l−1a)eiηS(l−1a)=νSϵ(l−1m)(m−1a)eiηSδ(l−1m)(m−1a)≤max{νSϵ(l−1m)eiηSδ(l−1m),νSϵ(m−1a)eiηSδ(m−1a)} =max{νSϵ(e)eiηSδ(e),νSϵ(m−1a)eiηSδ(m−1a)}=νSϵ(m−1a)eiηSδ(m−1a)=νmSϵ(a)eiηmSδ(a). |
Interchange the role of l and we get
νmSϵ(a)eiηmSδ(a)≤νlSϵ(a)eiηlSδ(a). Thus, νlSϵ(a)eiηlSδ(a)=νmSϵ(a)eiηmSδ(a).
(ⅱ) In similar way, this can be present as part (ⅰ).
Theorem 4.10. Let S(ϵ,δ) be an (ϵ,δ)-CAFNSG of group G and l,m,a,b arbitrary elements of G. If lS(ϵ,δ)=aS(ϵ,δ) and mS(ϵ,δ)=bS(ϵ,δ), then lmS(ϵ,δ)=abS(ϵ,δ).
Proof. Given that lS(ϵ,δ)=aS(ϵ,δ) and mS(ϵ,δ)=bS(ϵ,δ). Implies that l−1a,m−1b ∈ Se(ϵ,δ).
Consider, (lm)−1(ab)=m−1(l−1a)b=m−1(l−1a)(lm−1)b=[m−1(l−1a)(m)](m−1b). As Se(ϵ,δ) is normal subgroup of G. Thus, (lm)−1(ab)∈Se(ϵ,δ). Similarly, lmS(ϵ,δ)=abS(ϵ,δ). As a result of this, we can say that (ϵ,δ)-CAFQG along to classical quotient group.
Theorem 4.11. Assume that G/S(ϵ,δ)={lS(ϵ,δ):l∈G} be the collection of all (ϵ,δ)-CF cosets of (ϵ,δ)-CAFNSG S(ϵ,δ) of G. Consequently, the set action of the binary operator is well define G/S(ϵ,δ) and is present as lS(ϵ,δ)∗mS(ϵ,δ)=lmS(ϵ,δ) for all l, m∈G.
Proof. We have lS(ϵ,δ)=mS(ϵ,δ) and aS(ϵ,δ)=bS(ϵ,δ), for arbitrary ab, l, m∈G. Assume that g∈G be arbitrary element, so
[lS(ϵ,δ)aS(ϵ,δ)] (g)=(laS(ϵ,δ)(g))=νlaSϵ(g)eiηlaSδ(g). |
Consider,
νlaSϵ(g)eiηlaSδ(g)=max{νlaS(g)eiηlaS(g),ϵeiδ}
=max{νS((la)−1g)eiηS((la)−1g), ϵeiδ}=max{νS(a−1(l−1g))eiηS(a−1(l−1g)), ϵeiδ} =νaSϵ(l−1g)eiηaSδ(l−1g)=νbSϵ(l−1g)eiηbSδ(l−1g)=max{νS(b−1(l−1g))eIηS(b−1(l−1g)),ϵeiδ} =max{νS(l−1(gb−1)),ϵeiδ} =νlSϵ(gb−1)eiηlSδ(gb−1)=νlSϵ(gb−1)eiηmSδ(gb−1)=max{νS(m−1(gb−1))eiηS(m−1(gb−1)),ϵeiδ} =max{νS(m−1g)b−1eiηS(m−1g)b−1,ϵeiδ} =max{νS(b−1m−1(g))eIηS(b−1m−1(g)),ϵeiδ} =max{νS((mb)−1(g))eIηS((mb)−1(g)),ϵeiδ} =νqbSϵ(g)eiηqbSδ(g). |
Hence, the operation ∗ on G/S(ϵ,δ) is well defined. It can be observed that ∗ operation is a closed and associative on set G/S(ϵ,δ). Moreover,
νSϵeiηSδ *νlSϵeiηlSδ = νeSϵeiηeSδ * νlSϵeiηlSδ =νlSϵeiηlSδ =νlSϵeiηlSδ ⟹νSϵeiηS is neutral element of G/S(ϵ,δ). Obviously, the inverse of every entity of G/S(ϵ,δ) exist if νlSϵeiηlSδ ∈G/S(ϵ,δ), so there is a element, νl−1Sϵeiηl−1Sδ ∈G/S(ϵ,δ) such thatνl−1pSϵeiηl−1lSδ =νSϵeiηSδ . As a consequence, G/S(ϵ,δ) is a group. The group G/S(ϵ,δ) is known as quotient group of the G by S(ϵ,δ).
Lemma 4.12. Assume that a natural homomorphism from group G onto G/S(ϵ,δ) is f:GtoG/S(ϵ,δ) and the rule specifies, f(l) =lS(ϵ,δ) with kernel f = Se(ϵ,δ).
Proof. Suppose an arbitrary elements l, m taken from group G, then f(lm)=lmS(ϵ,δ)=νlmSϵeiηlmSδ =νlSϵeiηlSδ ∗ νmSϵeiηmSδ =lS(ϵ,δ)∗mS(ϵ,δ)=f(l)∗s(m). Hence f is a homomorphism and f is an onto mapping.
Then,Kerf={l∈G:f (l)=eS(ϵ,δ)}={l∈G: lS(ϵ,δ)=eS(ϵ,δ) }={l∈G:le−1∈Se(ϵ,δ)}={l∈G:l∈Se(ϵ,δ)}=Se(ϵ,δ). |
As a result of this, we introduce (ϵ,δ)-CAFG of quotient group generates by normal subgroup Seϵ,δ.
Theorem 4.13. Let Seϵ,δ be normal subgroup of G. If S(ϵ,δ)={(l,νSϵ(l)eiηSδ(l)):l∈G} is (ϵ,δ)-CAFSG. Then the (ϵ,δ)-complex anti fuzzy set ¯S(ϵ,δ)={(lSe(ϵ,δ),¯νSϵ(lSe(ϵ,δ))ei¯ηSδ(lSe(ϵ,δ))):l∈G} of G/Se(ϵ,δ) is also a (ϵ,δ)-CAFSG of G/Seϵ,δ. Where ¯νSϵ(lSe(ϵ,δ))ei¯ηSδ(lSe(ϵ,δ))=min{νSϵ(la)eiηSδ(la):a∈Se(ϵ,δ)} .
Proof. First we shall prove that ¯νSϵ(lSe(ϵ,δ))ei¯ηSδ(mSe(ϵ,δ)) is well defined. Let lSeϵ,δ=mSeϵ,δ then m=la, for some a∈Seϵ,δ. Now ¯νSϵ(mSe(ϵ,δ))ei¯ηSδ(mSeϵ,δ)=min{νSϵ(mb)eiηSδ(mb):b∈Se(ϵ,δ)}
=min{νSϵ(lab)eiηSδ(lab):c=ab∈Se(ϵ,δ)} =min{νSϵ(lc)eiηSδ(lc):c∈Se(ϵ,δ)} =¯νSϵ(lSe(ϵ,δ)) ei¯ηSδ(lSe(ϵ,δ)) |
Therefore, ¯νSϵ(lSe(ϵ,δ))ei¯ηSδ(lSe(ϵ,δ)) is well defined.
Consider, ¯νSϵ{(lSe(ϵ,δ))(mSe(ϵ,δ))}ei¯ηSδ{(lSe(ϵ,δ))(mSe(ϵ,δ))}
=¯νSϵ(lmSe(ϵ,δ))ei¯ηSδ(lmSe(ϵ,δ))=min{νSϵ(lma)eiηSδ(lma): a∈Se(ϵ,δ)} ≤min{max{νSϵ(lb)eiηS(ϵ,δ)(lb),νSϵ(mc)eiηSδ(mc)} :b,c∈Seϵ,δ}≤max{min{νSϵ(lb)eiηSδ(lb)} :b∈Seϵ,δ,min{νSϵ(mc)eiηSδ(mc)} :c∈Seϵ,δ }≤max{¯νSϵ(lSe(ϵ,δ))ei¯ηSδ(lSe(ϵ,δ)),¯νSϵ(mSe(ϵ,δ))ei¯ηSδ(mSe(ϵ,δ))}. |
Also,¯νSϵ((lSe(ϵ,δ))−1)ei¯ηSδ((lSe(ϵ,δ))−1)=¯νSϵ(l−1Seϵ,δ)ei¯ηSδ(l−1Seϵ,δ)=min{νSϵ(l−1a)eiηSδ(l−1a):a∈Seϵ,δ} ≤min{νSϵ(la)eiηSδ(la): a∈Seϵ,δ} =¯νSϵ(lSe(ϵ,δ))ei¯ηSδ(lSe(ϵ,δ)). |
This established the proof.
Definition 4.14. Let S(ϵ,δ) be a (ϵ,δ)-CAFSG of finite the group G. Then the cardinality of the set G/S(ϵ,δ) for (ϵ,δ)-CAF left cosets of G by S(ϵ,δ) is known as the index of (ϵ,δ)-CAFSG and is represent by [G:l].
Theorem 4.15. (ϵ,δ)-complex anti fuzzification of Lagrange's Theorem: Assume that G be finite group and S(ϵ,δ) be (ϵ,δ)-CAFSG of G then G is divisible by the index of (ϵ,δ)-CAFSG of G.
Proof. By Lemma 4.13, natural homomorphism h introduced from G to G/S(ϵ,δ). A subgroup is introduced by H={w∈G:wS(ϵ,δ)=eS(ϵ,δ)}. By attempting to make use of the definition w∈H and g∈G, we have wS(ϵ,δ)(g)=eS(ϵ,δ)(g). This indicates S(ϵ,δ)(w−1g)=S(ϵ,δ)(g). By Theorem 4.11, which shows that w∈Se(ϵ,δ). As a result H is contain in Se(ϵ,δ). Now, we can take arbitrary element w∈Se(ϵ,δ) and applying knowledge Se(ϵ,δ) is subgroup of G, we have S(ϵ,δ)(w−1)=S(ϵ,δ)(e). From Theorem 4.11, the elements w−1, g∈Se(ϵ,δ), this mean wS(ϵ,δ)=eS(ϵ,δ), implies that w∈H. Hence Se(ϵ,δ) is contain in H. We can conclude this the discussion that H=Se(ϵ,δ).
Unions of disjoint of right cosets is establish the partition of group G and is defined as G=z1G∪z2H∪⋯∪zlH. Where z1H=H. There is a (ϵ,δ)-CAF cosets ziS(ϵ,δ) in G/Se(ϵ,δ) and also is a differentiable.
Consider any coset ziSe(ϵ,δ). Let w∈Se(ϵ,δ), then
h(ziw)=ziwS(ϵ,δ)=ziS(ϵ,δ)wS(ϵ,δ)=ziS(ϵ,δ)eS(ϵ,δ)=ziS(ϵ,δ). |
Hence, h maps every entity of ziSe(ϵ,δ) into the (ϵ,δ)-CAF cosets ziS(ϵ,δ).
Currently, we can establish a basic association. h among the set {ziSe(ϵ,δ):1≤i≤l } and the set G/Se(ϵ,δ) defined by
h(ziSe(ϵ,δ))=ziS(ϵ,δ), 1≤i≤l. |
The h is injective.
As a result, suppose ziS(ϵ,δ)=zlS(ϵ,δ), then z−1lziS(ϵ,δ)=eS(ϵ,δ). Using (S), we have z−1lzi∈H, this means that ziSe(ϵ,δ)=ziSe(ϵ,δ) and thus h is injective. It is evident from the preceding discussion that [G: Se(ϵ,δ)] and [G:S(ϵ,δ)] are equal. Since [G: Se(ϵ,δ)] divides O(G).
This algebraic concept is shown in example.
Example 4.16. Assume G={<l,m:l3=m2=e, lm=ml2} be a group of order 6 finite permutations. The (ϵ,δ)-CAFSG S(ϵ,δ) of G according to the value ϵ=0.2 and δ=π4 is discuss.
S(ϵ,δ)(ω)={0.3eπi3ifω=e,0.4eπi2,ifω=l,l2,0.6eπi,otherwise. |
The set of all (ϵ,δ)-CAF left cosets of G by S(ϵ,δ) is given by:
G/S(ϵ,δ)={eS(ϵ,δ), lS(ϵ,δ), mS(ϵ,δ)}. |
It represents that [G:S(ϵ,δ)]=Card(G/S(ϵ,δ))=3.
In this article, we defined the concept of (ϵ,δ)-CAFS as a useful modification of classical CAFS. We established (ϵ,δ)-CAFSGs and presented certain fundamental algebraic characterizations of this novel framework. In addition, we developed the (ϵ,δ)-CAF cosets and analyzed some of their algebraic characteristics. Furthermore, we investigated the (ϵ,δ)-CAFNSG that generates the (ϵ,δ)-CAFQG. As for the future works, we will extend the novel approach to the different algebraic models and then apply on the extension of group theory, and introduce (ϵ,δ)-CAF subrings. Furthermore, we will work on its applications. Moreover, the proposed method can be applied to other areas, such as design concept evaluation, and the assessment of a method for complex products based on cloud rough numbers [39]. This assessment can be regarded as multi-attribute group decision-making.
The authors declare that they have not used Artificial Intelligence tools in the creation of this article.
This research work funded by Researchers Supporting Project number : RSPD2024R934, King Saud University, Riyadh, Saudi Arabia.
The authors declare that they have no conflicts of interest.
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