Abstract
In recent years, the m-polar fuzziness structure and the cubic structure have piqued the interest of researchers and have been commonly implemented in algebraic structures like groupoids, semigroups, groups, rings and lattices. The cubic m-polar () structure is a generalization of m-polar fuzziness and cubic structures. The intent of this research is to extend the structures to the theory of groups and semigroups. In the present research, we preface the concept of the groups and probe many of its characteristics. This concept allows the membership grade and non-membership grade sequence to have a set of m-tuple interval-valued real values and a set of m-tuple real values between zero and one. This new notation of group (semigroup) serves as a bridge among structure, classical set and group (semigroup) theory and also shows the effect of the structure on a group (semigroup) structure. Moreover, we derive some fundamental properties of groups and support them by illustrative examples. Lastly, we vividly construct semigroup and groupoid structures by providing binary operations for the structure and provide some dominant properties of these structures.
Keywords:
m-polar structure; cubic m-polar structure; cubic m-polar group; cubic m-polar semigroup (groupoid) structure MSC:
06F35; 03G25; 03B52; 03B05
1. Introduction
An algebraic (system) structure is a random set with one or more finitary operations defined in it. Algebraic structures include a wide range of structures such as semigroups, groups, rings, fields, vector spaces, lattices, categories and so on. In mathematics, the theory of groups is one of the most critical aspects of algebra. This theory provides a useful framework for analyzing an element that appears in the symmetric form. Group theory is inextricably linked to symmetry in some areas of science such as geometry and chemistry. In some areas of chemistry, it is an essential tool to classify and study the symmetries of atoms, molecules, crystal structure and regular polyhedral structure (see [1,2]). Semigroup theory, a new algebraic structure, is a thriving branch of modern algebra and it is a generalization of a group because a semigroup is a non-empty set together with an associative binary operation and need not have an element which has an inverse. Algebraic structures have been used in numerous domains; in particular, a semigroup is utilized in the theory of automata, network analogy, formal languages and so on.
There are numerous things inherently ambiguous, uncertain and inaccurate in the real world, and these things cannot be dealt with effectively using mathematical techniques that are traditionally used to deal with vagueness and uncertainties. However, one can use a wider range of pioneering theories, such as the theory of fuzzy structures () [3], the theory of bipolar fuzzy () structures [4], the theory of interval-valued fuzzy () structures [5] and the theory of cubic structures () [6] for dealing with vagueness and uncertainties. Zadeh [3] demonstrated the concept of in 1965 as an essential mathematical structure to characterize and assemble the objects/elements whose boundary is ambiguous. This concept permits the membership degree () of a crisp object/element over the interval ; that is, every crisp object/element assigns a degree of membership. have grown stupendously over the years, giving rise to the idea of fuzzy groups proposed in [7]. After that, this concept was extended to many hybrid structures such as the structure which permits the and non-membership degree () of a crisp object/element over the interval and combined with structure and which permits the and of a crisp object/element over the intervals and respectively. As a new hybrid structure of the theory of bipolar and intuitionistic fuzzy structures is well known and is propounded by Zhang [4] and Atanassov [8], respectively. In [4], Zhang used a grade of membership which is a positive fuzzy value and a grade of non-membership which is a negative fuzzy value for each ordinary object. In [8], Atanassov used a grade of membership and a grade of non-membership for each ordinary object, where the sum of them is less than or equal to one. After that, these hybrid aspects of were connected to algebraic structures, especially in group theory (see [9,10,11]). For more information about hybrid fuzziness structures, see [12].
In 2014, Chen and co-workers [13] presented the conceptualization of m-polar fuzzy () structures by using a grade of membership which is an m-tuple fuzzy value for each object. This concept stems from ordinary sets and and it is one of the most popular extensions of structures. The notions of and structures are specific cases of the notion of structure; thus, an structure differs from a and a structure in the sense that each object contains m-components. Following the introduction of the structure by Chen and co-workers [13], a lot of publications on generalizations of structures were conducted, for instance, polarity of generalized neutrosophic sets [14], polarity of structures [15] and polarity of intuitionistic (spherical) fuzzy structures [16,17].
Following the generalization of structures, numerous mathematicians used the concept of generalized structures in a wide range of scientific and technological fields. In group theory, the group was first implemented by Farooq and co-workers [18]. They proposed the notion of the subgroup and described the concepts of the coset and the quotient subgroup. In addition, the structure was studied by Al-Masarwah and Ahmad [19,20] in BCK and BCI algebras, Sarwar and Akram [21] in matroid theory, and Akram and Shahzadi [22] in Hypergraphs. In polarity of hybrid fuzziness structures, Kang et al. [16], Muhiuddin and Al-Kadi [23], Dogra and Pal [24] and Borzooei et al. [14] applied multipolar intuitionistic fuzzy structures, multipolar structures, picture structures and multipolar generalized neutrosophic structures, respectively, to BCK and BCI algebras. Uluçay and Ṣahin [25] constructed a bridge among neutrosophic multiset theory, classical set theory and classical group theory. They demonstrated the effect of neutrosophic multisets on a group structure. Basumatary et al. [26] studied and discussed several results in neutrosophic multi-topological group theory. In addition, many researchers studied some real-life applications based on polarity of hybrid fuzziness structures such as Siraj et al. [27], Akram et al. [28,29] and Hashmi et al. [30].
As a combination between and structure and to solve various complex and uncertain problems, Riaz and Hashmi [31] in 2019 propounded the theory of the structure by using a grade of which is a multi-fuzzy value and a grade of which is a multi-fuzzy interval value for each ordinary object. This notion manipulates not only multi-attributed information but also cubic information. After that, Garg et al. [32] presented some new laws and produced some results concerning the structure. In real-life issues, they applied the concept of the structure in medical diagnosis and pattern recognition. In [33,34], Riaz et al. studied the topological structures and some real-life applications based on the structure. In the context of graph theory, Muhiuddin and co-workers [35] initiated and studied the polarity of cubic graphs. Al-Masarwah and Alshehri [36] for the first time applied the theory of the structure to algebraic structures, especially algebras. They originated the concepts of subalgebras and (closed) ideals and discussed many dominant properties of these concepts. Moreover, they established the extension property for a ideal. By extending the works of [11,18] and inspired by the above works, the idea of the groups is presented by combining the notions of groups and cubic groups, and characterizations of them according to the properties of structures are provided in this present article. Figure 1 depicts a novel hybrid extension of cubic groups and groups known as groups to demonstrate the novelty of this extended algebraic structure.
Figure 1.
Contributions toward groups. (Biswas [9], Jun [11], Rosenfeld [7], Mahmood and Munir [10], Farooq et al. [18]).
This work is the first attempt to investigate and utilize the structures in group theory. The proposed work is arranged as follows. In Section 2, some key principles with respect to groups and structures are given to understand the proposed work. In Section 3, we preface the idea of the groups and probe many of its characteristics. In this regard, we show the effect of structures on a group theory. Then, we derive some fundamental results of groups and support them by illustrative examples. In Section 4, we vividly construct semigroup and groupoid structures by providing binary operations for the structure and provide some dominant properties of these structures. Finally, the conclusion and some potential future studies of this work are offered in Section 5.
Table 1 contains a list of acronyms used in the study article.
Table 1.
List of acronyms.
2. Basic Definitions
In this segment, we review some key notions for each area, i.e., structure [13], [6], structure [5] and structure [31]. In what follows, let I be the interval
A groupoid consists of a non-empty set equipped with a binary operation. A semigroup is an associative groupoid i.e., for all A monoid is a semigroup with a neutral element that has the property for all A group is a monoid such that for all there exists an inverse such that
An interval number is defined as where The set of all intervals is symbolized by The interval is indicated by the number in what follows. For the interval numbers where We describe
- and
- and
To say that (resp. we mean and (resp. and
Definition 1
([5]). An structure of is a mapping
defined as
where and are on
Definition 2
([6]). A of is a mapping
defined as
where is an structure on and is a on
Definition 3
([13]). An structure (or an structure) of is a mapping
defined as
where for is the j-th projection mapping.
As a connection between an structure and a group theory, the idea of an group was first implemented by Farooq and co-workers [18] as follows:
Definition 4.
An structure is called an group of if for all
- (1)
- (2)
for all
As a combination between a and an structure, Riaz and Hashmi [31] propounded the theory of structure as follows:
Definition 5.
A structure of is a mapping
defined as
where for and are the j-th projection mappings.
That is,
where and are of with for all
Definition 6
([31]). Let and be two structures over Then the equal operation for these structures is defined as follows: and for all
That is, and for all for all and
Definition 7
([31]). Let and be two structures over Then the subset for these structures under P-ordering and R-ordering operations, respectively, is defined as follows:
- (1)
- and for allThat is, and for all and
- (2)
- and for allThat is, and for all and
3. Cubic m-Polar Groups
In this segment, we initiate groups and normal subgroups, and investigate their fundamental properties. Throughout this article, let be a group with the identity element “e” and a binary operation “⋄”. Here, is the inverse of and we use instead of
Definition 8.
Let be a group and let be a structure. Then, is a groupoid over if for all
- (1)
- (2)
for all
A structure is a group over if the groupoid satisfies:
- (1)
- (2)
for all and
Example 1.
Let be a group and be a structure over defined by:
It is not difficult to demonstrate that is a group over However, the structure
is not a group of since and
Definition 8 and Example 1 illustrate that a group is an extension case of a cubic group and an group.
Next, we define the inverse of a group over
Definition 9.
Let be a group and let be a structure. Then, is defined as:
where
and
for all and Here, is the inverse of over
The next theorem suggests the necessary and sufficient condition under which the inverse of the group will be a group.
Theorem 1.
Let be a group. A structure over is a group if and only if is a group over
Proof.
Let and be a group over Then,
and
Moreover,
and
for all and Thus, is a group over
Conversely, let be a group over Then,
and
Moreover,
and
for all and Hence, is a group over □
Theorem 2.
Let be a group and be a group. Then,
- (i)
- and and
- (ii)
- and and
Proof.
(i) Since is a group over then
and
for all and
(ii) Since is a group over therefore and for all and Replacing y by it is obtained that and for all and Thus, and and □
Theorem 3.
Let be a group and let be a structure of If is a group, then and for all and
Proof.
Since is a group over then
and
for all and □
The next Theorem suggests the necessary and sufficient condition under which a structure will be a group.
Theorem 4.
Let be a group and let be a structure of Then, is a group if and only if and for all and
Proof.
Since is a group over therefore
and
for all and
Conversely, assume the given conditions are satisfied. Then,
and
for all and Moreover,
and
for all and Hence, is a group of □
Theorem 5.
Let be a group and be a group. Then, the following are equivalent for all and
- (i)
- and
- (ii)
- and
- (iii)
- and
- (iv)
- and
Proof.
Let be a group and Then, for all we have
- Thus, condition holds.
- Immediate.
- Therefore, condition holds.
- Hence, condition holds.
□
Definition 10.
Let be a subgroup of a group Let and be two structures of and respectively, such that (resp., ) If is itself a group of then is a subgroup of over and denoted by
Example 2.
Let us assume the group and a structure given in Example 1. Define a structure over by:
It is clear that and itself is a group over Thus, is a subgroup of over and denoted by
From Definition 10 and Example 2, it is clear that a subgroup is itself a group over
Definition 11.
Let be a group, be a group over and be a subgroup of over Then, is called a normal subgroup of denoted by if
for all and
Example 3.
Let be a symmetric group, where and be a structure over defined by:
where and Then, is a group of Since and for all and then is a normal subgroup over
Remark 1.
Let be a group over and be a subgroup of over If is abelian group, then is a normal subgroup of over
Example 4.
Let us consider the group over in Example 1. Since is an abelian group, then is a normal subgroup over
Theorem 6.
Proof.
Conversely, assume that condition holds. Taking instead of z in (H), then condition (1) is shown easily. □
Definition 12.
Let be any structure over and Define the -level and -level of as follows:
That is,
where and for each
The following theorem reflects on -level and -level of a structure It actually tells about the condition imposed on -level and -level of a structure under which a structure will be a group.
Theorem 7.
Let be a group and be a structure over Then, is a group if -level, and -level, are crisp subgroups of
Proof.
Let with and for all Then, and It is observed that
for all Moreover,
for all Thus,
It follows that and Since and are crisp subgroups of then and Therefore,
for all Since are arbitrary elements of then and Thus, is a group of □
Theorem 8.
Let be a group and be a group of Then, the nonempty set
forms a crisp subgroup of
Proof.
Let Then, and for all It follows that
and
for all Since and for all then and implying that and is a crisp subgroup of □
The following Theorem reflects on -level and -level of a group From Definition 12, we notice that -level and -level are crisp sets. From the next theorem, we will know that -level and -level are crisp subgroups of
Theorem 9.
Let be a group over a group Then, for all and -level, and -level, of are crisp subgroups of
Proof.
Let be a subgroup of a group and Let By assumption,
for all Hence, Similarly, let Then,
for all Hence, Therefore, and are crisp subgroups of □
4. Commutative Semigroup Structures of Cubic m-Polar Structures
In this section, we construct a commutative semigroup structure and a commutative groupoid structure by providing binary operations for the structure . In the current section,
- We use the group as the universe set (domain of discourse).
- denotes the collection of all structures over
Definition 13.
Let and be two structures on a set Then, the symmetric difference of and denoted by is defined as in which
where
and
for all and
Example 5.
Consider the set under the ordinary multiplication “.”, where Then, it is clear that is a group. Let and be two structures on a set defined by:
and
Then, the symmetric difference of and is given as follows:
Theorem 10.
is a commutative groupoid with identity element
Proof.
Let Then,
and
for all and Thus, Moreover, for all we have Finally, for any we have
and
for all and Similarly, for all and we obtain, and Therefore,
Hence, is a commutative groupoid with identity element □
The following example shows that a binary operation ⊟ is not associative in where Hence, ⊟ is not associative in so is not a semigroup.
Example 6.
Let us assume the group a structure and a structure in Example 5. Let be another structure on a set defined by:
Then, is given as in Example 5 and is given as:
Moreover, is given as:
and is given as:
Hence, Therefore, a binary operation ⊟ is not an associative in
Remark 2.
is non-idempotent.
The following example shows that is non-idempotent, where
Example 7.
Let us assume the group and a structure in Example 5. Then, for all Hence, is non-idempotent.
Definition 14.
Let and be two structures on a set Then, the sum of and denoted by is defined as a structure in which
where
and
for all and
Example 8.
Let us assume the group in Example 5. Let and be two structures on a set defined by:
and
Then, the sum of and is given as follows:
Theorem 11.
is a commutative semigroup with identity element
Proof.
Let Then,
and
for all and Thus, Moreover, for any we have
and
for all and Similarly, for all and we obtain, and Thus,
□
Hence, is a commutative semigroup and is the identity element of Thus, is a monoid.
Remark 3.
is non-idempotent.
The following example shows that is non-idempotent, where
Example 9.
Let us assume the group and a structure in Example 5. Then,
for all Therefore, Hence, is non-idempotent.
Definition 15.
Let and be two structures on a set Then, the product of and denoted by is defined as a structure in which
where
and
and
Example 10.
Let us assume the group in Example 5, a structure and structure in Example 8. Then, the product of and is given as follows:
Theorem 12.
is a commutative semigroup.
Proof.
Let Then,
and
for all and Thus,
Moreover, we have
and
for all and Thus, Therefore, is a commutative semigroup. □
Remark 4.
is non-idempotent.
The following example shows that is non-idempotent, where
Example 11.
Let us assume the group and a structure in Example 5. Then,
for all Therefore, Hence, is non-idempotent.
5. Conclusions
The conception of a structure is a generalization of an structure which deals with a two-pronged approach of decision analysis and data imprecision by taking into consideration both the polarity of the structure and the structure, simultaneously. In this article, we originated the idea of groups and probed many of its characteristics. We gave an an essential bridge between ordinary group theory and group theory. We investigated the effect of the structure on group (semigroup) structures. We derived some basic properties of groups and supported them by illustrative examples. Finally, we provided one binary operation to assign a groupoid structure to the set of structures and two binary operations to assign a semigroup structure to the set of structures. Moreover, we thoroughly investigated some important properties of groupoid and semigroup structures, and gave some illustrative examples to support these properties.
The results of this study can be further extended to normed subrings, hemirings, fields and ordered gamma semigroups (see [37,38,39,40]). Furthermore, the conception of a structure used in this manuscript can be studied according to the idea in [41], which will be the way for much future research.
Author Contributions
Conceptualization, A.A.-M.; Methodology, A.A.-M., M.A. and M.A.Q.; Writing—original draft, A.A.-M.; Writing—review and editing, M.A. and M.A.Q. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Roman, S. Fundamentals of Group Theory; Springer: New York, NY, USA, 2012; pp. 19–58. [Google Scholar]
- Carrell, J.B. Groups, Matrices, and Vector Spaces; Springer: New York, NY, USA, 2017; pp. 11–53. [Google Scholar]
- Zadeh, L.A. Fuzzy sets. Inf. Control 1965, 8, 338–353. [Google Scholar] [CrossRef] [Scilit]
- Zhang, W.R. Bipolar fuzzy sets and relations: A computational framework for cognitive and modeling and multiagent decision analysis. In Proceedings of the Fuzzy Information Processing Society Biannual Conference, San Antonio, TX, USA, 18–21 December 1994; pp. 305–309. [Google Scholar]
- Zadeh, L.A. The concept of a linguistic and application to approximate reasoning. Inf. Sci. 1965, 8, 199–249. [Google Scholar] [CrossRef] [Scilit]
- Jun, Y.B.; Kim, C.S.; Yang, K.O. Cubic sets. Annal. Fuzzy Math. Inform. 2012, 4, 83–98. [Google Scholar]
- Rosenfeld, A. Fuzzy groups. J. Math. Anal. Appl. 1971, 35, 512–517. [Google Scholar] [CrossRef] [Scilit]
- Atanassov, K.T. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986, 20, 87–96. [Google Scholar] [CrossRef] [Scilit]
- Biswas, R. Intuitionistic fuzzy subgroups. Math. Forum 1989, 10, 37–46. [Google Scholar]
- Tahir Mahmood, T.; Munir, M. On Bipolar fuzzy subgroups. World Appl. Sci. J. 2013, 27, 1806–1811. [Google Scholar]
- Jun, Y.B.; Jung, S.T.; Kim, M.S. Cubic subgroups. Ann. Fuzzy Math. Inform. 2011, 2, 9–15. [Google Scholar]
- Gupta, M.M.; Sanchez, E. Approximate Reasoning in Decision Analysis; U.S. Department of Energy Office of Scientific and Technical Information: Oak Ridge, TN, USA, 1982; pp. 151–156.
- Chen, J.; Li, S.; Ma, S.; Wang, X. m-polar fuzzy sets: An extension of bipolar fuzzy sets. Sci. World J. 2014, 2014, 416530. [Google Scholar] [CrossRef] [Scilit]
- Borzooei, R.A.; Smarandache, F.; Jun, Y.B. Polarity of generalized neutrosophic subalgebras in BCK/BCI algebras. Neutrosophic Sets Syst. 2020, 32, 123–145. [Google Scholar]
- Saeed, M.; Mehmood, A.; Arslan, M. Multipolar interval-valued fuzzy set with application of similarity measures and multi-person TOPSIS technique. Punjab Univ. J. Math. 2021, 53, 691–710. [Google Scholar]
- Kang, K.T.; Song, S.-Z.; Jun, Y.B. Multipolar intuitionistic fuzzy set with finite degree and its application in BCK/BCI algebras. Mathematics 2020, 8, 177. [Google Scholar] [CrossRef] [Scilit]
- Riaz, M.; Saba, M.; Khokhar, M.A.; Aslam, M. Novel concepts of m-polar spherical fuzzy sets and new correlation measures with application to pattern recognition and medical diagnosis. AIMS Math. 2021, 10, 11346–11379. [Google Scholar] [CrossRef] [Scilit]
- Farooq, A.; Alia, G.; Akram, M. On m-polar fuzzy groups. Int. J. Algebr. Stat. 2016, 5, 115–127. [Google Scholar] [CrossRef] [Scilit]
- Al-Masarwah, A.; Ahmad, A.G. m-Polar fuzzy ideals of BCK/BCI algebras. J. King Saud Univ. Sci. 2019, 31, 1220–1226. [Google Scholar] [CrossRef] [Scilit]
- Al-Masarwah, A.; Ahmad, A.G. m-Polar (α, β)-fuzzy ideals in BCK/BCI algebras. Symmetry 2019, 11, 44. [Google Scholar] [CrossRef] [Scilit]
- Sarwar, M.; Akram, M. New applications of m-polar fuzzy matroids. Symmetry 2017, 9, 319. [Google Scholar] [CrossRef] [Scilit]
- Akram, M.; Shahzadi, G. Hypergraphs in m-polar fuzzy environment. Mathematics 2018, 6, 28. [Google Scholar] [CrossRef] [Scilit]
- Muhiuddin, G.; Al-Kadi, D. Interval Valued m-polar Fuzzy BCK/BCI-Algebras. Int. J. Comput. Intell. Syst. 2021, 14, 1014–1021. [Google Scholar] [CrossRef] [Scilit]
- Dogra, S.; Pal, M. m-Polar picture fuzzy ideal of a BCK Algebra. Int. J. Comput. Intell. Syst. 2020, 13, 409–420. [Google Scholar] [CrossRef] [Scilit]
- Uluçay, V.; Şahin, M. Neutrosophic Multigroups and Applications. Mathematics 2019, 7, 95. [Google Scholar] [CrossRef] [Scilit]
- Basumatary, B.; Wary, N.; Mwchahary, D.D.; Brahma, A.K.; Moshahary, J.; Basumatary, U.R.; Basumatary, J. A Study on Some Properties of Neutrosophic Multi Topological Group. Symmetry 2021, 13, 1689. [Google Scholar] [CrossRef] [Scilit]
- Siraj, A.; Fatima, T.; Afzal, D.; Naeem, K.; Karaaslan, F. Pythagorean m-polar fuzzy neutrosophic topology with applications. Neutrosophic Sets Syst. 2022, 48, 251–290. [Google Scholar]
- Akram, M.; Ali, G.; Alshehri, N.O. A new multi-attribute decision-making method based on m-polar fuzzy soft rough sets. Symmetry 2017, 9, 271. [Google Scholar] [CrossRef] [Scilit]
- Akram, M.; Ali, G.; Alcantud, J.C.R. Parameter reduction analysis under interval-valued m-polar fuzzy soft information. Artif. Intell. Rev. 2021, 54, 5541–5582. [Google Scholar] [CrossRef] [Scilit]
- Hashmi, M.R.; Riaz, M.; Smarandache, F. m-Polar neutrosophic topology with applications to multi-criteria decision-making in medical diagnosis and clustering analysis. Int. J. Fuzzy Syst. 2020, 22, 273–292. [Google Scholar] [CrossRef] [Scilit]
- Riaz, M.; Hashmi, M.R. MAGDM for agribusiness in the environment of various cubic m-polar fuzzy averaging aggregation operators. J. Intell. Fuzzy Syst. 2019, 37, 3671–3691. [Google Scholar] [CrossRef] [Scilit]
- Garg, H.; Riaz, M.; Khokhar, M.A.; Saba, M. Correlation measures for cubic m-polar fuzzy sets with applications. Math. Probl. Eng. 2012, 2021, 19. [Google Scholar] [CrossRef] [Scilit]
- Riaz, M.; Akmal, K.; Yahya Almalki, Y.; Alblowi, S.A. Cubic m-polar fuzzy topology with multi-criteria group decision-making. AIMS Math. 2022, 7, 13019–13052. [Google Scholar] [CrossRef] [Scilit]
- Riaz, M.; Khokhar, M.A.; Pamucar, D.; Aslam, M. Cubic m-polar Fuzzy Hybrid Aggregation Operators with Dombi’s T-norm and T-conorm with Application. Symmetry 2021, 13, 646. [Google Scholar] [CrossRef] [Scilit]
- Muhiuddin, G.; Alanazi, A.M.; Mahboob, A.; Alkhaldi, A.H.; Alatwai, W. A novel study of graphs based on m-polar cubic structures. J. Funct. Spaces 2022, 2022, 12. [Google Scholar] [CrossRef] [Scilit]
- Al-Masarwah, A.; Alshehri, H. Algebraic perspective of cubic multi-polar structures on BCK/BCI algebras. Mathematics 2022, 10, 1475. [Google Scholar] [CrossRef] [Scilit]
- Abed Alhaleem, N.; Ahmad, A.G. Intuitionistic Fuzzy Normed Subrings and Intuitionistic Fuzzy Normed Ideals. Mathematics 2020, 8, 1594. [Google Scholar] [CrossRef] [Scilit]
- Abdullah, S. N-dimensional (α, β)-fuzzy H-ideals in hemirings. Int. J. Mach. Learn. Cybern. 2014, 5, 635–645. [Google Scholar] [CrossRef] [Scilit]
- Abu Qamar, M.; Ahmad, A.G.; Hassan, N. On Q-neutrosophic soft fields. Neutrosophic Sets Syst. 2020, 32, 80–93. [Google Scholar]
- Khan, F.M.; Sun, T.C.; Khan, A.; Junaid, M.; Din, A. Intersectional soft gamma ideals of ordered gamma semigroups. AIMS Math. 2021, 6, 7367–7385. [Google Scholar] [CrossRef] [Scilit]
- Vijayabalaji, S.; Sivaramakrishnan, S. A cubic set theoretical approach to linear space. Abstr. Appl. Anal. 2015, 2015, 1–8. [Google Scholar] [CrossRef] [Scilit]
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