Abstract
The notion of (normal) m-polar -fuzzy p-ideals of BCI-algebras is introduced, and several properties are investigated. Relations between an m-polar -fuzzy ideal and an m-polar -fuzzy p-ideal are displayed, and conditions for an m-polar -fuzzy ideal to be an m-polar -fuzzy p-ideal are provided. Characterization of m-polar -fuzzy p-ideals are considered. Given an m-polar -fuzzy ideal (resp., m-polar -fuzzy p-ideal), a normal m-polar -fuzzy ideal (resp., normal m-polar -fuzzy p-ideal) is established. Using an m-polar -fuzzy ideal, the quotient structure of BCI-algebras is constructed.
MSC:
06F35; 03G25; 08A72
1. Introduction
Fuzzy sets, which were introduced by Zadeh [1], deal with possibilistic uncertainty and are connected with imprecision of states, perceptions, and preferences. Since the introduction of fuzzy sets by Zadeh, fuzzy set theory has become an active area of research in various fields such as statistics, graph theory, medical and life science, engineering, business and social science, computer networks, decision making, artificial intelligence, pattern recognition, robotics, and automata theory, etc. BCK/BCI-algebras, which are created from two distinct approaches, set theory and proposition calculus, first appeared in the mathematical literature in 1966 (see [2,3]). BCK and BCI algebras describe fragments of propositional calculus involving implications known as BCK and BCI logics. The various attributes of BCK/BCI-algebra are considered in [4,5,6,7,8]. Ideal theory in BCI-algebras, in particular p-ideal, is studied in [9]. As an extension of fuzzy sets, Zhang [10] introduced the notion of bipolar fuzzy sets. Bipolar fuzzy information is applied in many (algebraic) structures, for instance, -semihypergroups (see [11]), finite state machines (see [12,13,14,15]), (ordered) semigroups (see [16,17,18,19]), and (hyper) BCK/BCI-algebras (see [20,21,22,23,24,25]). In many real problems, information sometimes comes from multi-factors, and there are many multi-attribute data that cannot be processed using existing anomalies (e.g., fuzzy anomalies and bipolar fuzzy anomalies, etc.). In 2014, Chen et al. [26] introduced an m-polar fuzzy set, which is an extension of bipolar fuzzy sets. m-polar fuzzy sets have been applied to decision-making problems (see [27]), graph theory (see [28,29,30,31]), and BCK/BCI-algebra (see [32]).
In this paper, we introduce the notion of (normal) m-polar -fuzzy p-ideals of BCI-algebras and investigate several properties. We discuss relations between an m-polar -fuzzy ideal and an m-polar -fuzzy p-ideal. We provide conditions for an m-polar -fuzzy ideal to be an m-polar -fuzzy p-ideal. We consider the characterization of m-polar -fuzzy p-ideals. Given an m-polar -fuzzy ideal (resp., m-polar -fuzzy p-ideal), we define a normal m-polar -fuzzy ideal (resp., normal m-polar -fuzzy p-ideal). Using an m-polar -fuzzy ideal, we construct the quotient structure of BCI-algebras.
2. Preliminaries
First, we would like to briefly present the basic concept for use in this paper.
By a BCI-algebra, we mean a set X with a binary operation * and a special element 0 that satisfies the following conditions:
- (I)
- (II)
- (III)
- (IV)
If a BCI-algebra X satisfies the following identity:
- (V)
Then X is called a -algebra. Any BCK/BCI-algebra X satisfies the following conditions:
where if and only if A subset S of a BCK/BCI-algebra X is called a subalgebra of X if for all A subset I of a BCK/BCI-algebra X is called an ideal of X if it satisfies
Every BCI-algebra X satisfies the following assertions (see [9]).
See the books [7] and [8] for more information on BCK/BCI-algebras.
By an m-polar fuzzy set (briefly, mp-fuzzy set) on a set X (see [26]), we mean a function . The membership value of every element is denoted by
where is the i-th projection for all .
Given an mp-fuzzy set on a set X, we consider the set
that is,
which is called an m-polar level set of .
By an mp-fuzzy point on a set X, we mean an mp-fuzzy set on X of the form
and it is denoted by . We say that y is the support of and is the value of .
We say that an mp-fuzzy point is contained in an mp-fuzzy set , denoted by , if , that is, for all .
An mp-fuzzy set on a BCK/BCI-algebra X is called an m-polar fuzzy ideal (briefly, mp-fuzzy ideal) of X (see [32] Definition 3.7) if the following conditions are valid.
that is,
for all .
We display an example of an mp-fuzzy ideal that is given by Al-Masarwah and Ahmad.
Example 1
([32]). Let be a BCI-algebra with a binary operation “*”, which is given in the following Cayley table.
Define a 4-polar fuzzy set on X as follows:
| * | 0 | 1 | 2 | 3 | |
| 0 | 0 | 0 | 3 | 2 | 1 |
| a | a | 0 | 3 | 2 | 1 |
| 1 | 1 | 1 | 0 | 3 | 2 |
| 2 | 2 | 2 | 1 | 0 | 3 |
| 3 | 3 | 3 | 2 | 1 | 0 |
Then is a 4-polar -fuzzy ideal of X.
3. -Polar Fuzzy -Ideals
In a BCK/BCI-algebra, the mp-fuzzy ideal is characterized as follows.
Lemma 1.
An mp-fuzzy set on a BCK/BCI-algebra X is an mp-fuzzy ideal of X if and only if the following conditions are valid.
Proof.
Straightforward. □
If an mp-fuzzy set on a BCK/BCI-algebra X satisfies two conditions (17) and (18), we say that is an m-polar -fuzzy ideal of X.
Lemma 1 shows that an mp-fuzzy ideal and an m-polar -fuzzy ideal are in agreement.
Definition 1.
An mp-fuzzy set on a BCI-algebra X is called an m-polar -fuzzy p-ideal of X if it satisfies (17) and
It is easy to show that the condition (19) is equivalent to the following condition:
that is,
for all and .
Example 2.
Let be a set with a binary operation “*”, which is given in Table 1.
Table 1.
Cayley table for the binary operation “*”.
Then X is a BCI-algebra (see [7]). Define a 5-polar fuzzy set on X as follows:
It is routine to check that is a 5-polar -fuzzy p-ideal of X.
Theorem 1.
Let I be a subset of a BCI-algebra X, and let be an mp-fuzzy set on X defined by
Then is an m-polar -fuzzy ideal (resp., m-polar -fuzzy p-ideal) of X if and only if I is an ideal (resp., p-ideal) of X.
Proof.
Straightforward. □
Proposition 1.
Every m-polar -fuzzy p-ideal of a BCI-algebra X satisfies the following inequalities:
that is, for all and .
Proof.
Theorem 2.
In a BCI-algebra, every m-polar -fuzzy p-ideal is an m-polar -fuzzy ideal.
Proof.
Let be an m-polar -fuzzy p-ideal of a BCI-algebra X. Since for all , it follows from (20) that
for all . Therefore, is an m-polar -fuzzy ideal of a BCI-algebra X. □
Proposition 2.
Every m-polar -fuzzy p-ideal of a BCI-algebra X satisfies the following inequalities.
that is, for all and .
Proof.
Let be an m-polar -fuzzy p-ideal of X. Then it is an m-polar -fuzzy ideal of X by Theorem 2. For any , we have . Hence,
for all . □
The following example shows that an m-polar -fuzzy ideal may not be an m-polar -fuzzy p-ideal.
Example 3.
Let be a set with a binary operation “*”, which is given in Table 2.
Table 2.
Cayley table for the binary operation “*”.
Then X is a BCI-algebra (see [7]). Define a 3-polar fuzzy set on X as follows:
It is easy to verify that is a 3-polar -fuzzy ideal of X. But it is not a 3-polar -fuzzy p-ideal of X since .
We provide conditions for an m-polar -fuzzy ideal to be an m-polar -fuzzy p-ideal.
Theorem 3.
Let be an m-polar -fuzzy ideal of a BCI-algebra X. If satisfies the inequality
then is an m-polar -fuzzy p-ideal of X.
Lemma 2.
Let X be a BCI-algebra. Then every m-polar -fuzzy ideal of X satisfies the following inequality
That is, for all and .
Theorem 4.
Let be an m-polar -fuzzy ideal of a BCI-algebra X. If satisfies the inequality
that is, for all and , then is an m-polar -fuzzy p-ideal of X.
Proof.
For any and , we have
and hence, for all . Therefore, is an m-polar -fuzzy p-ideal of X by Theorem 3. □
Theorem 5.
Let be an mp-fuzzy set on a BCI-algebra X. Then the following assertions are equivalent.
- (1)
- is an m-polar -fuzzy p-ideal of X.
- (2)
- The m-polar level set of is a p-ideal of X for all .
Proof.
Assume that is an m-polar -fuzzy p-ideal of X and let . It is clear that . Let be such that and . Then and . It follows from (21) that
for . Hence, , and therefore is a p-ideal of X.
Conversely, suppose that the m-polar level set of is a p-ideal of X for all . If for some and taking , then and . This is a contradiction, and so for all . Now, suppose that there exist such that . If we take
then and . Since of is a p-ideal of X, it follows that . Hence, , which is a contradiction. Thus for all . Therefore, is an m-polar -fuzzy p-ideal of X. □
Corollary 1.
Let be an mp-fuzzy set on a BCI-algebra X. If is an m-polar -fuzzy p-ideal of X, then the set
is a p-ideal and hence, an ideal of X.
In Example 2, we used definition to check that is a 5-polar fuzzy p-ideal. Theorem 5 is a nice tool to verify that an mp-fuzzy set in a BCI-algebra X is an m-polar -fuzzy p-ideal of X. Note that the m-polar level set of can be represented as follows:
where for . In Example 2, we have
Recall that is a p-ideal of X for all . Thus is a p-ideal of X, which implies from Theorem 5 that is a 5-polar -fuzzy p-ideal of X.
Theorem 6.
Let be an mp-fuzzy set on a BCI-algebra X, and let be an epimorphism. If is an m-polar -fuzzy p-ideal of X, then so is the composition .
Proof.
Let . Then and
Hence, is an m-polar -fuzzy ideal of X. Now, we have
for all . Therefore, is an m-polar -fuzzy p-ideal of X by Theorem 4. □
Definition 2.
An m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) of a BCI-algebra X is said to be normal if there exists such that , that is, for all .
Example 4.
The m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) in Theorem 1 is normal.
We note that if an m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) of a BCI-algebra X is normal, then . Thus, we have the following characterization.
Theorem 7.
An m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) of a BCI-algebra X is normal if and only if , that is, for all .
Using a non-normal m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal), we provide a way to make a normal m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal).
Theorem 8.
If is an m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) of a BCI-algebra X, then the mp-fuzzy set on X defined by
that is, for , is a normal m-polar -fuzzy ideal (resp. normal m-polar -fuzzy p-ideal) of X containing .
Proof.
Assume that is an m-polar -fuzzy ideal of X. For any , we have
and
for all for . This shows that is an m-polar -fuzzy ideal of X, and it is normal by Theorem 7. Suppose that is an m-polar -fuzzy p-ideal of X. Then is an m-polar -fuzzy ideal of X by Theorem 2. For any , we get
for all for . It follows from Theorem 4 that is an m-polar -fuzzy p-ideal of X. It is clear that is contained in . □
The following example illustrates Theorem 8.
Example 5.
(1) Consider the 3-polar -fuzzy ideal , which is not normal, of X in Example 3. Then is given as follows:
and it is a normal 3-polar -fuzzy ideal of X that contains .
(2) If we take the 5-polar -fuzzy p-ideal of X in Example 2, then it is not normal and is given as follows:
which is a normal 5-polar -fuzzy p-ideal of X containing .
Theorem 9.
Let be an m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) of a BCI-algebra X. Then is normal if and only if .
Proof.
The sufficiency is clear. Assume that is normal. Then
for all by Theorem 7, completing the proof. □
Corollary 2.
Let be an m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) of a BCI-algebra X. If is normal, then .
Theorem 10.
Let be an m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) of a BCI-algebra X. If there exists an m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) of X satisfying , then is normal and .
Proof.
Straightforward. □
Theorem 11.
Let X be a BCI-algebra, and let be a non-constant normal m-polar -fuzzy ideal (resp. m-polar -fuzzy p-ideal) of X which is maximal in the poset of normal m-polar -fuzzy ideals (resp. m-polar -fuzzy p-ideals) under set inclusion. Then has the values and only.
Proof.
Since is normal, we have . Let be such that . It is sufficient to show that . If , then there exists such that . Let be an mp-fuzzy set on X given by
It is clear that is well-defined. For any , we have
and
Hence, is an m-polar -fuzzy ideal of X. In addition, we have
for all . Hence, is an m-polar -fuzzy p-ideal of X by Theorem 4. Now, we get
and so , which shows that is normal. Note that
Hence, is non-constant and is not maximal, which is a contradiction. Therefore, has the values and only. □
4. Quotient BCI-Algebras via -Polar -Fuzzy Ideals
Lemma 3
([32] Proposition 3.9). Every m-polar -fuzzy ideal of a BCI-algebra is order reversing.
Let be an m-polar -fuzzy ideal of a BCI-algebra X. Define a binary relation ≈ on X related to by
that is,
for all , and a natural number k.
Lemma 4.
The relation ≈ is a congruence on X.
Proof.
It is clear that ≈ is reflexive and symmetric. Assume that and . Then , , , and for a natural number k. Since
by (9) and (I), it follows from Lemma 3 that
Since is an m-polar -fuzzy ideal of X, we have
By a similar way, we have , and thus . Hence, ≈ is an equivalence relation on X. Let be such that . Then
and so
By a similar way, we get . Hence, . Now, we have
which implies from Lemma 3 that
Similarly, we obtain . Thus, . It follows that if and for all , then . Therefore, ≈ is a congruence on X. □
Denote by the equivalence class of an element y in X, and the quotient set of X by is denoted by , and so
Theorem 12.
Let be an m-polar -fuzzy ideal of a BCI-algebra X. Define a binary operation ⊛ on by
Then is a BCI-algebra.
Proof.
We first show that the binary operation ⊛ on is well-defined. Assume that and for . Then and . If , then , and so . Thus, . Similarly, we get . Therefore, ⊛ is well-defined. Let . Then
By a similar way, we have and . Suppose that and . Then , and so . It follows that and . Thus, , and so . Consequently, is a BCI-algebra. □
Theorem 13.
If is an m-polar -fuzzy ideal of a BCI-algebra X, then the mapping
is an epimorphism. Moreover, if for all , then f is an isomorphism.
Proof.
Let be such that . Then and so and for . It follows that and . Thus , and so . This shows that the map f is well-defined. For every , we get
Therefore, f is a homomorphism. It is clear that f is onto. Suppose that for some . Then or for some . It follows from the hypothesis that or . Hence, . This completes the proof. □
5. Conclusions
Zhang introduced the notion of bipolar fuzzy sets, which is an extension of fuzzy sets. As an extension of bipolar fuzzy sets, Chen et al. have introduced an m-polar fuzzy set. The purpose of this paper is to apply the notion of m-polar fuzzy sets to p-ideals in BCI-algebras. We have introduced the concept of (normal) m-polar -fuzzy p-ideals of BCI-algebras and have investigated several properties. We have discussed relations between an m-polar -fuzzy p-ideal and an m-polar -fuzzy ideal. We have provided an example of an m-polar -fuzzy ideal that is not an m-polar -fuzzy p-ideal. We have given conditions for an m-polar -fuzzy ideal to be an m-polar -fuzzy p-ideal and have considered the characterization of m-polar -fuzzy p-ideals. Given an m-polar -fuzzy ideal (resp., m-polar -fuzzy p-ideal), we have defined a normal m-polar -fuzzy ideal (resp., normal m-polar -fuzzy p-ideal). Using an m-polar -fuzzy ideal, we have constructed the quotient structure of BCI-algebras. There are several kinds of ideals in BCI-algebras, for example, p-ideal, q-ideal, a-ideal, BCI-implicative ideal, BCI-positive implicative ideal, BCI-commutative ideal, sub-implicative ideal, etc. These different kinds of ideals are basically very relevant to the ideal. Thus, the polarity of p-ideals as studied in this paper will be the basic step in the polarity study of other ideals. The purpose of our research in the future is to continue to think about these things and define new concepts in some algebraic structures.
Author Contributions
Create and conceptualize ideas, Y.B.J. and R.A.B.; writing—original draft preparation, Y.B.J.; writing—review and editing, S.S.A. and M.M.T.
Funding
This research received no external funding.
Acknowledgments
We would like to thank the anonymous reviewers for their very careful reading and valuable comments/suggestions.
Conflicts of Interest
The authors declare no conflict of interest.
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