Some algebraic applications of soft sets
Introduction
The original concept of soft set was firstly introduced by Moldtsov [1]. His pioneer paper has undergone tremendous growth and applications in the last few years. Maji et al. [2] give an application of soft set theory in a decision making problem by using the rough sets and they conducted a theoretical study on soft sets in a detailed way [3]. Chen et al. [4] proposed a reasonable definition of parameterizations reduction of soft sets and compared them with the concept of attributes reduction in rough set theory.
The algebraic structures of set theories which deal with uncertainties have been studied by some authors. Rosenfeld [5] proposed fuzzy groups to establish results for the algebraic structures of fuzzy sets. Rough groups were defined by Biswas et al. [6] and some others (i.e. Bonikowaski [7], Iwinski [8]) studied algebraic properties of rough sets.
Many authors studied on applications of soft sets. Çağman et al.[9] defined products of soft sets and uni-int decision function and then using this definition, they constructed an uni-int decision making method which selects a set of optimum elements from the alternatives. Babitha et al. [10] introduced a sub soft set of the Cartesian product of the soft set and many related concepts. Xiau et al. [11] proposed the notion of exclusive disjunctive soft sets and studied some of its operations. Gong et al. [12] defined the concept of bijective soft set and some of its operations and studied its several properties. Feng et al. [13] established an interesting connection between two mathematical approaches to vagueness: rough sets and soft sets. They also defined new types of soft sets such as full soft sets, intersection complete soft sets and partition soft sets.
In [14], Aktaş and Çağman introduced the notion of a soft group and showed that many concepts of group theory can be extended in an elementary manner to develop the theory of soft groups. Since then, many author have developed soft algebraic concepts. Jun et al. [16] studied soft ideals and idealistic soft BCK/BCI-algebras. Acar et al. [17] introduced initial concepts of soft rings. Aygunoğlu et al. [18] introduced the concept of fuzzy soft group and, in the meantime, they studied its properties and structural characteristics. Atagun and Sezgin [19] introduced and studied the concepts of soft sub-rings, soft ideal of a ring and soft sub fields of a field.
In this paper, by using Gong's [12] definition of the bijective soft set and Aktaş's definition of the soft group, we introduce definition of bijective soft groups and show its basic properties with a theoretical study. The presentation of the rest of the paper is organized as follows. In Section 2, the fundamental properties of soft sets, bijective soft set and soft groups are presented. In Section 3, the concepts of bijective soft group and bijective soft subgroup are defined and their basic properties are studied and mentioned some applications of bijective soft groups on coding theory. In Section 4, using the concept of bijective soft group, we obtain some basic results of classical groups. Finally, in Section 5, conclude the present paper with suggestions for future work.
Section snippets
Preliminaries
The following definitions and preliminaries are required in the sequel of our work and they are presented in brief.
Throughout this section, U is an initial universe set, E is a set of parameters, P(U) is the power set of U, A ⊂ E and G denotes a group with identity e.
Definition 2.1 [1] A pair (F, A) is called a soft set over U, where F is a mapping given by
In other words, a soft set over U is a parameterized family of subsets of the universe U. For ɛ ∈ A, F(ɛ) may be considered as the set of ɛ
Bijective soft groups and their applications
In this section we give bijective soft groups which is a special case soft groups and investigate its some algebraic properties. Also we give a table for computing purposes.
Definition 3.1 Let (F, A) be a soft group over G, where F is mapping F : A → P(G) and A nonempty parameter set. We say that (F, A) is a bijective soft group, if (F, A) such that ∪a∈AF(a) = G, For any two parameters ai, aj ∈ A, F(ai) ∩ F(aj) = {e}.
If (F, A) is a bijective soft group over G, then the mapping F : A → P(G) can be transformed to the mapping F : A → Y
Relationship between bijective soft groups and classical groups
In this section, we do not only obtain some properties of bijective soft groups by using the properties of classical groups, but also we derive some properties of classical groups by using the properties of bijective soft groups.
Theorem 4.1 Let (F, A) be a bijective soft group over G. If order of G is prime, then (F, A) is an absolute bijective soft group over G and the number of different absolute bijective soft groups defined over G is equal to the cardinality of A.
Proof Suppose that (F, A) is a bijective soft
Conclusion
In this paper, we have made a theoretical study of the soft set theory. This theoretical study has contributed to the some algebraic structures. We have studied the algebraic properties of bijective soft sets with respect to a group structure. We have focused on bijective soft groups and investigated relationship between bijective soft groups and classical groups. We talked about applications of bijective soft groups on coding theory and computer. The ideas proposed in this paper could be
References (19)
Soft set theory-first results
Comput. Math. Appl.
(1999)- et al.
An application of soft sets in a decision making problem
Comput. Math. Appl.
(2002) - et al.
Soft set theory
Comput. Math. Appl.
(2003) - et al.
The parameterization reduction of soft sets and its applications
Comput. Math. Appl.
(2005) Fuzzy groups
J. Math. Anal. Appl.
(1971)- et al.
Soft set theory and uni-int decision making
Eur. J. Oper. Res.
(2010) - et al.
Soft set relations and functions
Comput. Math. Appl.
(2010) - et al.
Exclusive disjunctive soft sets
Comput. Math. Appl.
(2010) - et al.
The bijective soft set with its operations
Comput. Math. Appl.
(2010)