Abstract
The complex fuzzy environment is an innovative tool to handle ambiguous situations in different mathematical problems. In this article, we commence the abstraction of -complex fuzzy sets, -complex fuzzy subgroupoid, -complex fuzzy subgroups and describe important examples of the symmetric group under -complex fuzzy sets. Additionally, we discuss the conjugacy class of the group with respect to -complex fuzzy normal subgroups. We define -complex fuzzy cosets and elaborate upon the certain operation of this analog to group theoretic operation. We prove that factors regarding the -complex fuzzy normal subgroup form a group and establish an ordinary homomorphism. Moreover, we create the -complex fuzzy subgroup of the factor group.
1. Introduction
Fuzzy logic theory is based on the idea of concerned graded membership influenced by human cognition and perception. Lotfi Zadeh [1] launched his well-known maiden paper on fuzzy logic in 1965. Fuzzy logic can cope with data resulting from computational perceptions that are obscure, imprecise, uncertain and partially accurate. Fuzzy logic deals with unclear human assessments in computing difficulties. It comes with proper tools for contrasting the resolution of various protocols. Fuzzy logic-based new computing procedures can be employed for the designing of intelligence for decision making, pattern recognition, optimizations and time series forecasting. Fuzzy logic is highly fruitful for the people connected with research in areas such as engineers, agricultural, chemical, aerospace, civil, mechanical, geological, industrial and computer software developers. Doubtlessly, the fuzzy logic-based applications were considered vague at a time but are now in use in scientific works. Fuzzy logic-based applications are beneficial in many fields, such as air conditioners, facial identification modes, vacuum cleaners, washing machine mechanisms, transmission systems and weather prediction systems. Several investigators are actively engaged in the development of fuzzy sets and their applications [2,3,4,5].
Many differential equations display unreliability and variability in their interpretation [6]. Fuzzy set theory grows more significant in dealing with this type of information. Imai et al. [7] invented the study of BCK/BCI algebras in 1966 as an extrapolated conviction of set-theoretic difference. Rosenfeld [8] built up the erection of fuzzy subgroups on fuzzy sets in 1971. In 1979, fuzzy groups were redefined by Anthony and Sherwood [9]. The concepts of intersection, inclusion, convexity, union, relation, etc., are extended to such sets, and different properties of these convictions in the context of fuzzy sets are demonstrated in [10]. The author of [11] deliberated the abstraction of normal subgroups of fuzzy subgroups in 1984. Liu [12] introduced the concept of invariant fuzzy subgroups. In 1988, Choudhury [13] commenced the notion of fuzzy homomorphisms between two groups and studied its effectiveness on fuzzy subgroups. Mashour et al. pictured many different key properties of fuzzy subgroups in [14]. Filep [15] expanded the structure and construction of fuzzy subgroups in 1992. Many scientists are busily engaged in the development of fuzzy sets in group theory [16]. Gupta and Qi [17] presented some typical T-operators and reviewed T-norm, T-conorm and negation function under T-operators. Malik and Mordeson [18] explored the concept of fuzzy subgroups of Abelian Groups and analyzed their various algebraic characterization. Mishref [19] described the fuzzy normal series of finite groups. Kim [20] introduced the opinion of fuzzy orders of the elements of groups and explored many other algebraic aspects of the fuzzy order of a group. Ray [21] launched the concept of a direct product of fuzzy subgroups in 1999. The idea of a complex fuzzy set was acquainted by Ramot et al. [22,23] in 2002. In 2009, Zhang et al. [24] developed the various algebraic setup of complex fuzzy sets. In 2009, a new structure and construction of Q-fuzzy groups were described by Solairaju [25]. Al-Husban and Salleh [26] defined the notion of complex fuzzy hypergroups based on complex fuzzy spaces. The new applications of complex fuzzy sets in ring theory, metric spaces, graph theory and group theory were introduced in [27,28,29,30]. Ma et al. [31] presented some new mathematical operations and laws of complex fuzzy sets, such as absorption law, involution law, symmetrical difference formula, simple difference and disjunctive sum. Moreover, they developed a new algorithm using complex fuzzy sets for application signals. Trevijano and Elorza [32] determined the new opinion of annihilators of fuzzy subgroups and examined their various algebraic properties. Ilieva [33] commenced a novel technique for fuzzy forecasting of time series with supervised learning and k-order fuzzy relationships. The recent applications of complex fuzzy sets in ring theory and BCk/BCI algebras may be viewed in [34,35]. Imtiaz et al. [36] explored the new structure of -complex fuzzy sets and -complex fuzzy subgroups. Many authors [37,38,39,40,41,42,43] initiated several interesting techniques and approaches to solve complicated systems in fuzzy group theory, fuzzy ring theory and fuzzy fractional calculus, whereas the computational effects are very vague and straightforward. Gulzar et al. [44] presented the novel concept of complex fuzzy subfields. Verma et al. [45] discussed a systematic review on the development in the inquiry of fuzzy variational problems. Masmali et al. [46] introduced the concept of -fuzzy subgroups and discussed many algebraic properties of fact. Recently, Razzaque and Razaq [47] initiated the concept of q-rung orthopair fuzzy subgroups and level subgroups of q-rung orthopair fuzzy subgroups.
Considering the above literature and importance of complex fuzzy set and group theory, this paper discloses the concept of -complex fuzzy subgroups. Additionally, -complex fuzzy sets have the ability to play an effective role in solving symmetric groups. This article describes element structures of symmetric groups under the environment of -complex fuzzy subgroups. The basic objective and fundamental contribution of this paper are to;
- Define different algebraic properties of -complex fuzzy subgroups.
- Describe the abstraction -complex fuzzy normal subgroups and -complex fuzzy cosets along with the related fundamental theorems.
- Discuss the factor group regarding -complex fuzzy normal subgroup forming a group and establishing an ordinary homomorphism.
2. Preliminaries
In this section, we specify essential definitions and algebraic features of complex fuzzy sets and complex fuzzy subgroups that play important roles in our next exploration.
Definition 1
([1]). A fuzzy subset is just like a function from the universe, set to a unit interval [0, 1].
Definition 2
([22]). A complex fuzzy set λ of universe of discourse X is mapping from a non-empty set to a unit disk and is described by the rule where Ç is a set of complex numbers. The is a complex membership function of complex fuzzy set λ, where .
Definition 3
([29]). Let R be a universe of discourse and be a fuzzy subset. Then, π-fuzzy subset of R is defined as
Definition 4
([29]). Let Z be a group. A π-fuzzy set of Z is a π-fuzzy subgroup of Z if
- , for all ,
- , for all .
Definition 5
([29]). Let λ and γ be two complex fuzzy subsets of Z. Then,
- A complex fuzzy set λ is a homogeneous complex fuzzy subset if, for all we have if and only if .
- A complex fuzzy set λ is a homogeneous complex fuzzy set with γ if, for all we have if and only if .
Note: All complex fuzzy sets used in this paper are homogeneous complex fuzzy sets.
Definition 6
([24]). Let and be a complex fuzzy set of set M. Then, the set theoretic operations are defined as:
- ,
Definition 7
([29]). Let Z be a group and be a complex fuzzy set of Z. Then, λ is said to be a complex fuzzy subgroup of Z if the below axioms are satisfied.
- ,
- , for all .
Example 1.
Let be a group of order four. We define a complex fuzzy set as complex fuzzy subgroup of Z. We can see that both axioms of complex fuzzy subgroup are satisfied on λ. Hence, λ is a complex fuzzy subgroup.
Definition 8.
Let Z be a group. A complex fuzzy set of Z is called a complex fuzzy normal subgroup of Z if: , for all
3. Algebraic Properties of (,)-Complex Fuzzy Subgroups
In this section, we commence the abstraction of the -complex fuzzy set. Moreover, we initiate the new algebraic structure of -complex fuzzy subgroups and explore their fundamental algebraic properties.
Definition 9.
Let be a complex fuzzy set of group Z. For any and , then the complex fuzzy set is a -complex fuzzy set of Z in regards to a complex fuzzy set λ and is defined as: .
Definition 10.
Let and be two -complex fuzzy subsets of Z. Then,
- A -complex fuzzy set is a homogeneous -complex fuzzy subset if, for all we have if and only if .
- A -complex fuzzy set is homogeneous with if, for all we have if and only if .
Note: All -complex fuzzy sets used in this paper are homogeneous.
Remark 1.
If and in the above definition, it becomes a classical complex fuzzy set.
Remark 2.
Let and be two -complex fuzzy subsets of Z. Then, .
Definition 11.
Let be a -complex fuzzy subset of group Z, for and . A -complex fuzzy subgroupoid of Z is a fuzzy algebraic structure that satisfies the following condition: .
Definition 12.
Let be a -complex fuzzy subset of group Z for and . A -complex fuzzy subgroup of group Z is a fuzzy algebraic structure that satisfies the following axioms:
- ,
- , for all .
In the following example, we explain a -complex fuzzy subset and a -complex fuzzy subgroup.
Example 2.
Consider a group as a group of order 8. We describe a complex fuzzy subset of Z as follows:
In view of Definition 9, we have
.
Describe -complex fuzzy subgroup of Z, for and , then
Now we take we have
,
Moreover, .
Similarly, both conditions of Definition 12 are satisfied for all elements of group Z. Hence λ is a -complex fuzzy subgroup of Z.
Remark 3.
If is a -complex fuzzy set of group Z for Then,
.
Theorem 1.
Let be a -complex fuzzy subgroup of group . Then,
- This means that
Proof.
Obviously. □
Theorem 2.
Let Z be a finite group. If is a -complex fuzzy subgroupoid of Z, then is a -complex fuzzy subgroup of Z.
Proof.
Assume that is a member of Z; thus, . Here, n is a finite number such that , where e is the identity element of group Z, we know that . We use the application of Definition 12. Then, we have
□
Theorem 3.
Let Z be a group. If is a -complex fuzzy subgroup of Z, for some , and then for all .
Proof.
Given that Then, from Theorem 1, we have
Consider
Now, assume that
Again, from Theorem 1, we have
Therefore, we obtain
From Equations (1) and (2), we have
□
Theorem 4.
Let Z be a group. If λ is a complex fuzzy subgroup of Z, then is a -complex fuzzy subgroup of Z.
Proof.
Assume that is a complex fuzzy subgroup of Z, for all .
Consider
Further,
□
Remark 4.
The below example proves that the converse of Theorem 4 is generally false.
Example 3.
Let be a Klein four group. We can see that is not a complex fuzzy subgroup of Z. Take and then we have for all . Then we get . Therefore, for all . Moreover, . Thus, . Hence, is a -complex fuzzy subgroup.
Theorem 5.
Let and be a two -complex fuzzy subgroups of group Z, then, is also -complex fuzzy subgroup of Z.
Proof.
Given that and be two -complex fuzzy subgroups of Z, for any .
Consider,
Further,
Hence, is of Z. □
Remark 5.
The converse of Theorem 5 may not be true.
Example 4.
Consider a permutation group . Considering two -complex fuzzy subgroups and of , we take , described as:
and
This implies that
Take and . Therefore, . and . Hence, this proves the claim.
Definition 13.
Let be a -complex fuzzy subgroup of group Z. Then -complex fuzzy subgroup , of Z is said to be a -complex fuzzy left coset of Z established by and x is defined as:
In the same way, we describe the -complex fuzzy right coset and x is described as:
Example 5.
Take as a group of order 8. Describe -complex fuzzy subgroup of Z, and , then
From Definition 13, we have . Hence, the -complex fuzzy left coset of in G for is defined as:
In the same way, we can define the -complex fuzzy right coset of , for all .
Definition 14.
Let Z be a group and be a -complex fuzzy subgroup of Z. Then, is said to be a -complex fuzzy normal subgroup if . Equivalently, -complex fuzzy subgroup is a -complex fuzzy normal subgroup of Z if , for all .
Remark 6.
Let be a -complex fuzzy subgroup of group Z. Then for all .
Theorem 6.
Every complex fuzzy normal subgroup of group Z is a -complex fuzzy normal subgroup of Z.
Proof.
Suppose that are elements of Z. Then
This implies that
which implies that
This implies that . Consequently, is a -complex fuzzy normal subgroup of Z. □
Theorem 7.
Let be a -complex fuzzy subgroup of group Z. Then, remains the same in the conjugacy class of Z if and only if is a -complex fuzzy normal subgroup.
Proof.
Suppose that is a -complex fuzzy normal subgroup of group Z. Then,
Conversely, assume that is remains same in every conjugate class of Z. Then,
□
Theorem 8.
Let Z be a group and be a -complex fuzzy subgroup of Z, Then is a -complex fuzzy normal subgroup if and only if .
Proof.
Take as a -complex fuzzy normal subgroup of Z. Let be a member of the group. Assume that
Conversely, suppose that . Let be an element
We describe two cases.
Case 1
If
is a constant portray and the result is satisfied trivially.
Case 2
If
Then, from Equation (5), we have
From Equations (4) and (6), we get
Hence is a constant. □
Theorem 9.
If is a -complex fuzzy normal subgroup of Z, Then, the set is a normal subgroup of Z.
Proof.
We have because . Let be any members. Consider
. Which means that . However, . Therefore, . It means that , it means that . Further, . However, . Thus, is a subgroup of Z. Let and . We know, . This implies that . Therefore, is a normal subgroup. □
Example 6.
Consider as a symmetric group. Let the -complex fuzzy normal subgroup of G be defined as
From Theorem 3.24, we have
We can see that is a normal subgroup of index 2.
Theorem 10.
Let be a -complex fuzzy normal subgroup of Z. Then,
- (i)
- if and only if
- (ii)
- if and only if
Proof.
- (i)
- For any we have . Consider,Therefore, Conversely, let imply that . Consider,Exchange the function of x and y, and we get . Therefore,
- (ii)
- In the same way, we can show that as part (i).
□
Theorem 11.
Let Z be a group and be a -complex fuzzy normal subgroup of Z and and v be any members in Z. If and . Then, .
Proof.
We have and . This means that
Consider, . As is a normal subgroup of Z. Thus, . As result, .
□
Theorem 12.
Assume that is the assemblage of all -complex fuzzy co-sets of and is a -complex fuzzy normal subgroup of group Z. Therefore, a well-defined binary operation 🟉 of is described as .
Proof.
We have and for any . Let be any element. Then, == Consider,
Therefore, 🟉 is a well-defined operation and satisfies the associative property on . Further, is an identity element of . Obviously, the inverse of each member of exists if , and then there exists a member, such that . Consequently is a group. □
Lemma 1.
Let Z be a group and be a classical homomorphism from Z onto and is described by with the kernel .
Proof.
Let be arbitrary members of Z, and . Therefore, L is a homomorphism. Moreover, L is as follows
□
Theorem 13.
Let be a normal subgroup of Z. If is a -complex fuzzy subgroup, then the -complex fuzzy set of is a -complex fuzzy subgroup of where .
Remark 7.
If is a -complex fuzzy subgroup of Z, and and for all then .
Remark 8.
If is a -complex fuzzy subgroup of Z, and and for all then .
4. Conclusions
We have commenced the abstraction of a -complex fuzzy subset and a -complex fuzzy subgroup. We have proved that every -complex fuzzy subgroup is a complex fuzzy subgroup, but the converse is not true. We have proved that the factor group regarding a -complex fuzzy normal subgroup forms a group and establishes an ordinary homomorphism from the group to its factor group regard. In the future, we will extend this approach to the advanced structure of group theory, such as Sylow theorems and fundamental theorems of isomorphism. The Sylow theorems form a fundamental part of finite group theory and play an important role in the classification of finite simple groups.
Author Contributions
A.A.A. and D.A. developed the theory and performed the computations. A.A.A. and D.A. verified the analytical methods. All authors have read and agreed to the published version of the manuscript.
Funding
The authors would like to thank the Deanship of Scientific Research of King Abdulaziz University, Jeddah, Saudi Arabia, for technical and financial support.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No real data were used to support this study. The data used in this study are hypothetical and anyone can use them by just citing this article.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Zadeh, L.A. Fuzzy Sets. Inf. Control. 1965, 8, 338–353. [Google Scholar] [CrossRef]
- Ilieva, G. Fuzzy Group Full Consistency Method for Weight Determination. Cybern. Inf. Technol. 2020, 20, 50–58. [Google Scholar] [CrossRef]
- Ilieva, G.; Yankova, T.; Radeva, I.; Popchev, I. Blockchain Software Selection as a Fuzzy Multi-Criteria Problem. Computers 2021, 10, 120. [Google Scholar] [CrossRef]
- Sharma, H.K.; Singh, A.; Yadav, D.; Kar, S. Criteria selection and decision making of hotels using Dominance Based Rough Set Theory. Oper. Res. Eng. Sci. Theory Appl. 2022, 5, 41–55. [Google Scholar] [CrossRef]
- Garg, H.; Vimala, J.; Rajareega, S.; Preethi, D.; Dominguez, L.P. Complex Intuitionistic Fuzzy Soft SWARA-COPRAS Approach: An Application of ERP Software Selection. AIMS Math. 2022, 7, 5895–5909. [Google Scholar] [CrossRef]
- Alaoui, M.K.; Alharbi, F.M.; Zaland, S. Novel Analysis of Fuzzy Physical Models by Generalized Fractional fuzzy operators. J. Funct. Spaces 2022, 2022, 2504031. [Google Scholar] [CrossRef]
- Imai, Y.; Iseki, K. On axiom system of propositional calculi, XIV. Proc. Jpn. Acad. 1966, 42, 19–22. [Google Scholar] [CrossRef]
- Rosenfeld, A. Fuzzy groups. J. Math. Anal. Appl. 1971, 35, 512–517. [Google Scholar] [CrossRef]
- Anthony, J.M.; Sherwood, H. Fuzzy groups redefined. J. Math. Anal. Appl. 1979, 69, 124–130. [Google Scholar] [CrossRef]
- Mizumoto, M. Fuzzy sets and their operations. Inf. Control 1981, 48, 30–48. [Google Scholar] [CrossRef] [Green Version]
- Mukherjee, N.P.; Bhattacharya, P. Fuzzy normal subgroups and fuzzy cosets. Inf. Sci. 1984, 34, 225–239. [Google Scholar] [CrossRef]
- Liu, W.J. Fuzzy invariant subgroups and fuzzy ideals. Fuzzy Sets Syst. 1982, 8, 133–139. [Google Scholar] [CrossRef]
- Choudhury, F.P.; Chakraborty, A.B.; Khare, S.S. A note on fuzzy subgroups and fuzzy homomorphism. J. Math. Anal. Appl. 1988, 131, 537–553. [Google Scholar] [CrossRef]
- Mashour, A.S.; Ghanim, H.; Sidky, F.I. Normal fuzzy subgroups. Ser. Math. 1990, 20, 53–59. [Google Scholar]
- Filep, L. Structure and construction of fuzzy subgroups of a group. Fuzzy Sets Syst. 1992, 51, 105–109. [Google Scholar] [CrossRef]
- Kumar, I.J.; Saxena, P.K.; Yadav, P. Fuzzy normal subgroups and fuzzy quotients. Fuzzy Sets Syst. 1992, 46, 121–132. [Google Scholar] [CrossRef]
- Gupta, M.M.; Qi, J. Theory of T-norm and fuzzy inference methods. Fuzzy Sets Syst. 1991, 40, 431–450. [Google Scholar] [CrossRef]
- Malik, D.S.; Mordeson, J.N.; Nair, P.S. Fuzzy normal subgroups in fuzzy subgroups. J. Korean Math. Soc. 1992, 29, 1–8. [Google Scholar]
- Mishref, M.A. Normal fuzzy subgroups and fuzzy normal series of finite groups. Fuzzy Sets Syst. 1995, 72, 379–383. [Google Scholar] [CrossRef]
- Kim, J.G. Fuzzy order relative to fuzzy subgroups. Inf. Sci. 1994, 80, 341–348. [Google Scholar] [CrossRef]
- Ray, A.K. On product of fuzzy subgroups. Fuzzy Sets Syst. 1999, 105, 181–183. [Google Scholar] [CrossRef]
- Ramot, D.; Milo, R.; Friedman, M.; Kandel, A. Complex fuzzy sets. IEEE Trans. Fuzzy Syst. 2002, 10, 450–461. [Google Scholar] [CrossRef]
- Ramot, D.; Friedman, M.; Langholz, G.; Kandel, A. Complex fuzzy logic. IEEE Trans. Fuzzy Syst. 2003, 11, 171–186. [Google Scholar] [CrossRef]
- Zhang, G.; Dillon, T.S.; Cai, K.Y.; Ma, J.; Lu, J. Operation properties and λ-equalities of complex fuzzy sets. Int. J. Approx. Reason. 2009, 50, 1227–1249. [Google Scholar] [CrossRef]
- Solairaju, A.; Nagarajan, R. A new structure and construction of Q-fuzzy subgroup. Adv. Fuzzy Math. 2009, 4, 23–29. [Google Scholar]
- Al-Husban, A.; Salleh, A.R. Complex fuzzy group based on complex fuzzy space. Glob. J. Pure. Appl. Math. 2016, 12, 1433–1450. [Google Scholar]
- Singh, D.; Joshi, V.; Imdad, M.; Kumam, P. A novel framework of complex valued fuzzy metric spaces and fixed point theorems. J. Intell. Fuzzy Syst. 2016, 164, 3227–3238. [Google Scholar] [CrossRef]
- Thirunavukarasu, P.; Suresh, R.; Viswanathan, K.K. Energy of complex fuzzy graph. Int. J. Math. Sci. Eng. Appl. 2016, 10, 243–248. [Google Scholar]
- Alsarahead, M.O.; Ahmad, A.G. Complex fuzzy subgroups. Appl. Math. Sci. 2017, 11, 2011–2021. [Google Scholar] [CrossRef]
- Alsarahead, M.O.; Ahmad, A.G. Complex fuzzy subrings. Int. J. Pure Appl. Math. 2017, 117, 563–577. [Google Scholar]
- Ma, X.; Zhan, J.; Khan, M.; Zeeshan, M.; Anis, S.; Awan, A.S. Complex fuzzy sets with Applications in signals. Comput. Appl. Math. 2019, 38, 150. [Google Scholar] [CrossRef]
- Trevijano, S.A.; Chasco, M.J.; Elorza, J. The annihilator of fuzzy subgroups. Fuzzy Sets Syst. 2019, 369, 122–131. [Google Scholar] [CrossRef]
- Ilieva, G. Fuzzy Supervised Multi-Period Time Series Forecasting. Cybern. Inf. Technol. 2019, 19, 74–85. [Google Scholar] [CrossRef]
- Gulistan, M.; Yaqoob, N.; Nawaz, S.; Azhar, S. A study of (α, β)-complex fuzzy hyperideals in non-associative hyperrings. J. Intell. Fuzzy Syst. 2019, 36, 1–17. [Google Scholar] [CrossRef]
- Yun, Y.B.; Xin, X.L. Complex fuzzy sets with application in BCK/BCI-Algebras. Bull. Sect. Log. 2019, 48, 173–185. [Google Scholar]
- Imtiaz, A.; Shuaib, U.; Alolaiyan, H.; Razaq, A.; Gulistan, M. On structural Properties of ξ-complex fuzzy sets and their application. Complexity 2020, 2020, 2038724. [Google Scholar] [CrossRef]
- Mirvakili, S.; Naraghi, H.; Shirvani, M.; Ghiasvand, P. Some Fuzzy Multigroups Obtained from Fuzzy Subgroups. J. Math. Ext. 2021, 16, 1–25. [Google Scholar]
- Gulzar, M.; Abbas, G.; Dilawar, F. Algebraic properties of ω-Q-fuzzy subgroup. Int. J. Math. Comput. Sci. 2020, 15, 265–274. [Google Scholar]
- Gulzar, M.; Alghazzawi, D.; Mateen, M.H.; Kausar, N. A Certain Class of t-Intuitionistic Fuzzy Subgroups. IEEE Access 2020, 8, 163260–163268. [Google Scholar] [CrossRef]
- Gulzar, M.; Mateen, M.H.; Alghazzawi, D.; Kausar, N. A Novel Applications of Complex Intuitionistic Fuzzy Sets in Group Theory. IEEE Access 2020, 8, 196075–196085. [Google Scholar] [CrossRef]
- Gulzar, M.; Alghazzawi, D.; Mateen, M.H.; Premkumar, M. On some characterization of Q complex fuzzy subrings. J. Math. Comput. Sci. 2021, 22, 295–305. [Google Scholar] [CrossRef]
- Ali, U.; Alyousef, H.A.; Ahmed, K.; Ali, S. Solving Nonlinear Fractional differential equations for Contractive and weakly compatible Mapping in neutrosophic metric spaces. J. Funct. Spaces 2022, 2022, 1491683. [Google Scholar] [CrossRef]
- Aresh, M.; El-Tantawy, S.A.; Alotaibi, B.M.; Zaland, S. Study of fuzzy fractional third-order dispersive KdV equation in a plasma under Atangana-Bleanu Derivative. J. Funct. Spaces 2022, 2022, 7922001. [Google Scholar]
- Gulzar, M.; Alghazzawi, D.; Dilawar, F.; Mateen, M.H. A note on complex fuzzy subfields. Indones. J. Electr. Eng. Comput. Sci. 2021, 21, 1048–1056. [Google Scholar] [CrossRef]
- Verma, M.; Chen, Y.C.; Kilicman, A.; Hasim, R.M. A systematic Review on the advancement in the study of fuzzy variational problems. J. Funct. Spaces 2022, 2022, 8037562. [Google Scholar] [CrossRef]
- Masmali, I.; Shuaib, U.; Razaq, A.; Fatima, A.; Alhamzi, G. On Fundamental Algebraic Characterizations of μ-Fuzzy Normal Subgroups. J. Funct. Spaces 2022, 2022, 2703489. [Google Scholar] [CrossRef]
- Razzaque, A.; Razaq, A. On q-Rung Orthopair Fuzzy Subgroups. J. Funct. Spaces 2022, 2022, 8196638. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).