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Generalized -fuzzy rough rings via -fuzzy relational morphisms
Journal of Inequalities and Applications volume 2013, Article number: 279 (2013)
Abstract
In this paper, we introduce the notion of -fuzzy (full) relational morphisms of rings and investigate some properties of ℐ-lower and -upper fuzzy rough approximations on rings with respect to them.
MSC:20M99, 03E72, 16W20.
1 Introduction
The theory of rough sets proposed by Pawlak [1] is a new mathematical approach for the study of incomplete or imprecise information. The usefulness of rough sets has been demonstrated by some successful applications in many areas such as knowledge discovery, machine learning, data analysis, approximate classification, conflict analysis, and so on. Equivalence relation is a key notion in Pawlak’s rough set model. The equivalence classes are employed to construct lower and upper approximations. Some constructive and algebraic properties of rough sets are investigated by using equivalence relations. However, the requirement of an equivalence relation in Pawlak’s rough set models seems to be a very restrictive condition that may limit the applications. Thus one of the aims of many researchers working on rough set theory has been to generalize this theory. Pawlak’s model has been generalized by use of arbitrary relations in place of equivalence relations, or by use of covering or neighborhood systems or set-valued mappings in place of equivalence classes (see [2–8]).
Fuzzy set theory which was introduced by Zadeh [9] in 1965 and was generalized by Goguen [10] in 1967 is another mathematical tool to cope with the vague concepts via grading the turbidity. Dubois and Prade [11] introduced the problem communicating with the fuzzy sets and the rough sets. Many researchers have dealt with the integration of rough sets and fuzzy sets which are two distinct and complementary theories. For a deep study of fuzzy rough sets, the reader is referred to [11–16].
Biswas and Nanda [17] applied the notion of rough sets to algebra and introduced the notion of rough subgroups. Kuroki [18] introduced the notion of a rough ideal in a semigroup. In [19, 20], Davvaz analyzed a relationship between rough sets and ring theory considering a ring as a universal set and introduced the notion of rough ideals and rough subrings with respect to an ideal of a ring. By considering a ring as a universal set, Li et al. [21] studied -fuzzy rough approximation operators with respect to a -fuzzy ideal of the ring. Li and Yin [22] generalized lower and upper approximations to ν-lower and -upper fuzzy rough approximations with respect to -congruence L-fuzzy relation on a semigroup. In order to have a more flexible tool for analysis of an information system, recently, Davvaz has studied the concept of generalized rough sets called by him -rough sets [23]. This is another generalization of rough sets. In this type of generalized rough sets, instead of equivalence relations, we require set-valued maps. This technique is useful, where it is difficult to find an equivalence relation among the elements of the universe set. In this generalized rough sets, a set-valued map gives rise to lower and upper generalized approximation operators. Ali et al. [24] studied some topological properties of the sets which are fixed by these operators. They also studied the degree of accuracy (DAG) for generalized rough sets and some properties of fuzzy sets which are induced by DAG. Davvaz, in [23], also introduced the concept of set-valued homomorphisms for groups, which is a generalization of an ordinary homomorphism. Yamak et al. [25, 26] investigated some properties of rough approximations with respect to set-valued homomorphisms of rings and modules in the perspective of set-valued homomorphisms. In [27], Ali et al. initiated the study of roughness in hemirings with respect to the Pawlak approximation space and also with respect to the generalized approximation space.
Recently, Ignjatović et al. [28] have introduced the notion of a (relational morphism) fuzzy relational morphism which is more general than a (congruence relation) fuzzy congruence relation. Set-valued homomorphisms and relational morphisms are related closely because a set-valued homomorphism defines a relational morphism and vice versa. This paper, in one respect, is an attendance in the sense of fuzzy generalization of the ideas presented in references [26]. This study offers a wider perspective than [21] in terms of using -fuzzy relational morphisms which are L-fuzzy relations from any ring to any other ring instead of -congruence L-fuzzy relation on a semigroup. In this paper, we investigate some properties of the -fuzzy relational morphisms looking from the side of homomorphisms of rings and designate them to construct an L-fuzzy approximation space and investigate some properties of this L-fuzzy approximation space with respect to rings.
2 Preliminaries
The following definitions and preliminaries are required in the sequel of our work and hence they are presented in brief.
Let be a complete lattice with the least element 0 and the greatest element 1. A triangular norm [29], or t-norm in short, is an increasing, associative and commutative mapping that satisfies the boundary condition: for all , . A t-norm on L is called ∨-distributive if for all . is also called infinitely ∨-distributive if for all , where Λ is an index set. An implicator is a function satisfying the conditions and (see [14]). The minimum t-norm and the drastic product t-norm on L are defined as follows:
An implicator ℐ defined as
for all is called an R-implicator (residual implicator) based on the t-norm . For an R-implicator ℐ based on the t-norm , the following statements hold: () [21, 30],
-
(0)
,
-
(1)
and ,
-
(2)
,
-
(3)
and ,
-
(4)
,
-
(5)
,
-
(6)
,
-
(7)
,
-
(8)
.
Throughout this paper, unless otherwise indicated, L is referred to as any lattice, and and ℐ are referred to as any t-norm and any implicator on L, respectively.
2.1 L-fuzzy subsets
In this subsection, we give some basic notions and results (see [9, 10, 14, 16, 30–33]).
Let X be a non-empty set called the universe of discourse. An L-fuzzy subset of X is any function from X into L (see [10]). The class of all subsets and L-fuzzy subsets of X will be denoted by and , respectively. In particular, if (where is the unit interval), then it is appropriate to replace a fuzzy subset with an L-fuzzy subset. In this case the set of all fuzzy subsets of X is denoted by . For any , the α-cut (or level) set of μ will be denoted by , that is, , where . In what follows, will denote the fuzzy singleton with value α at y and 0 elsewhere. For and , is defined by if and otherwise. is called a characteristic function of the set . Let μ and ν be any two L-fuzzy subsets of X. The symbols , and will mean the following L-fuzzy subsets of X, for all x in X,
2.2 L-fuzzy relations
Let X, Y and Z be non-empty sets.
Definition 2.1 An L-fuzzy subset is referred to as an L-fuzzy relation from X to Y, is the degree of relation between x and y, where . If for each , there exists such that , then Θ is referred to as a serial L-fuzzy relation from X to Y. If , then Θ is referred to as an L-fuzzy relation on X; Θ is referred to as a reflexive L-fuzzy relation if for all ; Θ is referred to as a symmetric L-fuzzy relation if for all ; Θ is referred to as a -transitive L-fuzzy relation if for all . Let and be L-fuzzy relations which satisfy the condition for all and . Then is called the inverse L-fuzzy relation of Θ.
The -compositions of the L-fuzzy relations and is an L-fuzzy relation defined by for all (see [32]).
2.3 Generalized L-fuzzy rough approximation operators
Let X and Y be two non-empty sets and Θ be an L-fuzzy relation from X to Y. The triple is called a generalized L-fuzzy approximation space. If Θ is an L-fuzzy relation on X, then it is denoted by the pair , and especially if , then the triple is called a generalized fuzzy approximation space. Let be a t-norm and ℐ be an implicator on L. For any L-fuzzy subset μ of Y, the -upper and ℐ-lower L-fuzzy rough approximations of μ, denoted as and respectively, are two L-fuzzy sets of X whose membership functions are defined respectively by
The operators and from to are referred to as -upper and ℐ-lower L-fuzzy rough approximation operators of respectively, and the pair is called the -L-fuzzy rough set of μ with respect to .
In [14], Wu et al. studied some properties of -upper and ℐ-lower fuzzy rough approximation operators of the generalized approximation space , where is a continuous t-norm and ℐ is a hybrid monotonic implicator on . The same properties for the -upper and the ℐ-lower L-fuzzy rough approximation operators can be obtained.
Example 2.2 Let be a lattice whose Hasse diagram is depicted in Figure 1.
Let be defined by
for all and , and let μ, ν, η be L-fuzzy subsets of indicated in the following table:
Then -upper and ℐ-lower L-fuzzy rough approximations of them are obtained as follows, where ℐ is an R-implicator based on the t-norm :
2.4 -fuzzy subrings
Let be a ring and I be a non-empty subset of R. Then we say that I is a subring whenever then . A subring I of R which satisfies the condition and for all , is said to be an ideal of R. Let R and S be rings. A function is a homomorphism provided and for all .
Definition 2.3 Let R be a ring and . If, for all , μ satisfies the following conditions:
-
(i)
,
-
(ii)
,
-
(iii)
,
then μ is called a -fuzzy subring of R. Moreover, a -fuzzy subring μ is called a -fuzzy ideal of R if .
Definition 2.4 Let R be a ring and . Define , and as follows:
The L-fuzzy sets , and are called the -sum, -product and -product, respectively.
3 -fuzzy relational morphism of rings
Throughout this paper, unless otherwise stated, R, S, and K will be referred to as rings. Recall that a fuzzy relation Θ on a semigroup A is called fuzzy compatible iff for all (see [30, 34]). We will give a more general definition for rings in the light of the reference [28].
Definition 3.1 Let R and S be two rings and . If, for all , Θ satisfies the following conditions:
-
(i)
,
-
(ii)
,
-
(iii)
,
then Θ is called a -fuzzy relational morphism from R to S. Moreover, a -fuzzy relational morphism Θ is said to be full if . The set of all the -fuzzy (full) relational morphisms from R to S is denoted by (respectively, ). It is obvious that and if , then .
Example 3.2 Let R, S, , , and be rings.
-
(1)
Let μ and ν be -fuzzy subrings of R and S, respectively. Let a -fuzzy relation Θ be defined by for all . Then Θ is a -fuzzy relational morphism from R to S. Moreover, if is a ∨-distributive t-norm and μ and ν are -fuzzy ideals of R and S, respectively, then Θ is full.
-
(2)
Let and and be homomorphisms of rings. Then defined by for all is a -fuzzy relational morphism from to . In particular, if Φ is full, then Θ is full.
-
(3)
Let be a homomorphism of rings and μ be a -fuzzy subring of . Then defined by for all is a -fuzzy relational morphism from to .
-
(4)
Let be a homomorphism of rings and such that . Then defined by
for all is a -fuzzy relational morphism from to .
-
(5)
ℤ is a ring under the usual operations of addition and multiplication. Let L be any lattice with the least element 0 and the greatest element 1. defined by
is a -fuzzy relational morphism on ℤ but it is not full since .
-
(6)
Let be the lattice, see Figure 2.
Let be defined by
is a -fuzzy full relational morphism.
Proposition 3.3 Let be an infinitely ∨-distributive t-norm.
-
(i)
If , then for all and , .
-
(ii)
Let and . Then .
-
(iii)
Let . Then .
Proof It is straightforward. □
By Proposition 3.3(iii), it is clear that is a monoid.
Theorem 3.4 Let be an infinitely ∨-distributive t-norm. If and , then .
Proof Let . Thus
So, is a -fuzzy relational morphism of rings. It is clear to see that if and , then . □
Definition 3.5 Let . Then the kernel and image of Θ (denoted by KerΘ and ImΘ, respectively) are defined to be the L-fuzzy subsets of R and S, respectively that satisfy and for all , .
Remark Let be a homomorphism of rings and let be defined by
Then and and .
Proposition 3.6 Let . Then:
-
(i)
KerΘ is a -fuzzy subring of R.
-
(ii)
If , then KerΘ is a -fuzzy ideal of R.
-
(iii)
ImΘ is a -fuzzy subring of S if is an infinitely ∨-distributive t-norm on L.
Proof
-
(i)
Let . Then
-
(ii)
If , then it follows immediately from (i).
-
(iii)
Let . Then
Thus ImΘ is a -fuzzy subring of S.
□
Let and be any t-norm on L. For an , let some α-level sets be defined as follows:
Theorem 3.7 Let . Then:
-
(i)
If , then is a subring of S.
-
(ii)
If , then is a subring of R.
-
(iii)
If , then is a subring of .
-
(iv)
If , then is a subring of .
Proof Let . Then there exist such that and . So, we have . Since , then by Proposition 3.3(i) and . Therefore . Hence is a subring of S. For (ii), the proof is similar to (i). For (iii), it is similar to (i) that is a subring of S. Since , then is a subring of . For (iv), the proof is similar to (iii). □
Definition 3.8 Let μ be a -fuzzy ideal of R. The L-fuzzy subset of R defined by is called a coset of the -fuzzy ideal μ (see [35]).
Proposition 3.9 Let μ be a -fuzzy ideal of R which satisfies and let x, y, u, v be any elements in R. If and , then
-
(i)
and
-
(ii)
.
Proof It is similar to the proof of Proposition 3.4 in [35]. □
Let μ be a -fuzzy ideal of R which satisfies . Then Proposition 3.9 allows us to define two binary operations ‘+’ and ‘⋅’ on the set of all cosets of μ as follows:
It is straightforward to see that is a ring under these binary operations with additive identity μ, multiplicative identity and .
Theorem 3.10 Let μ be a -fuzzy ideal of R which satisfies and be defined by for all . Then .
Proof Let and . Thus
So, Θ is a -fuzzy relational morphism of rings. □
Let . For any and , and is defined as follows:
and are called the - and -restriction of Θ, respectively (see [32]).
Theorem 3.11 Let be an infinitely ∨-distributive t-norm. If Θ is a -fuzzy (full) relational morphism from R to S, then and are -fuzzy subrings (ideals) of S and R, respectively.
Proof Since , then it is obvious that is a -fuzzy subgroup of R by Proposition 3.6. Similarly, is -fuzzy subgroup of S since and . Thus if , then it is easy to see and are -fuzzy ideals of S and R, respectively. □
4 ℐ-lower and -upper fuzzy rough approximations on a ring
In this section, we study the properties of ℐ-lower and -upper fuzzy rough approximation operators with respect to a -fuzzy (full) relational morphism of rings.
Theorem 4.1 Let , and be an infinitely ∨-distributive t-norm. Then:
-
(i)
.
-
(ii)
.
-
(iii)
.
Proof
-
(i)
Let . Then
So, we have .
-
(ii)
It is similar to the proof of (i).
-
(iii)
Let . Then
□
The following example shows that replacing ‘=’ by ‘≤’ is not true in general in Theorem 4.1.
Example 4.2 Let L be the lattice which is given in Example 3.2(6) and . Let and be defined by
Then and . Let ω be an L-fuzzy subset of ℤ defined by
Then and . Thus, . Let μ, ν be L-fuzzy subsets of defined by
Then and . Thus, .
Definition 4.3 Let be a -fuzzy approximation space and μ be an L-fuzzy subset of S. μ is called a ℐ-lower -fuzzy rough ring of S if is a -fuzzy subring of R and μ is called a -upper -fuzzy rough ring of S if is a -fuzzy subring of R. The -L-fuzzy rough set is called a -fuzzy rough ring of μ if both and are -fuzzy subrings of R.
Theorem 4.4 Let be an infinitely ∨-distributive t-norm, and μ be a -fuzzy subring of S. Then μ is a -upper -fuzzy rough ring of S.
Proof Let . Then
Hence we obtain is a -fuzzy subring of R. Thus μ is a -upper -fuzzy rough ring of S. □
Theorem 4.5 Let be an infinitely ∨-distributive t-norm, and μ be a -fuzzy ideal of S. Then is a -fuzzy ideal of R.
Proof Let . Then
So, is a -fuzzy ideal of R in conjunction with Theorem 4.4. □
The following example shows that μ is not a ℐ-lower -fuzzy rough ring of S in general under the condition of Theorem 4.4, and Theorem 4.5 may not be true for the ℐ-lower L-fuzzy rough approximation of μ even if Θ is full.
Example 4.6 Consider L and Θ as in Example 3.2(6). Let . Then Θ is a -fuzzy full relational morphism. Let a L-fuzzy subset μ of be defined by
Then μ is a -fuzzy ideal of and we obtain the -fuzzy lower approximation operator of μ as follows:
Since , then is not a -fuzzy subring of ℤ.
5 Conclusions
The generalized rough sets on algebraic sets such as group, ring and module were mainly studied by a set-valued homomorphism [23, 25, 26] which is a generalization of a congruence relation. In this paper, a definition of -fuzzy (full) relational morphism is considered as a generalization of fuzzy congruence relations (or -congruence L-fuzzy relations) for rings. Then we obtained some new properties of a -fuzzy (full) relational morphism to provide opportunity of putting reasonable interpretations and explored the features of generalized ℐ-lower and -upper fuzzy rough approximations of an L-fuzzy subset on rings. From these points of view, taking a fresh look at the generalized -L-fuzzy rough sets on rings is an interesting research topic. Our further work on this topic will focus on the properties of generalized -L-fuzzy rough sets on modules with respect to the -fuzzy (full) relational morphism.
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Dedicated to Professor Hari M Srivastava.
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Ekiz, C., Çelik, Y. & Yamak, S. Generalized -fuzzy rough rings via -fuzzy relational morphisms. J Inequal Appl 2013, 279 (2013). https://doi.org/10.1186/1029-242X-2013-279
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DOI: https://doi.org/10.1186/1029-242X-2013-279