Abstract
Recent trends in modern information processing have focused on polarizing information, and and bipolar fuzzy sets can be useful. Bipolar fuzzy sets are one of the important tools that can be used to distinguish between positive information and negative information. Positive information, for example, already observed or experienced, indicates what is guaranteed to be possible, and negative information indicates that it is impossible, prohibited, or certainly false. The purpose of this paper is to apply the bipolar fuzzy set to BCK/BCI-algebras. The notion of (translated) k-fold bipolar fuzzy sets is introduced, and its application in BCK/BCI-algebras is discussed. The concepts of k-fold bipolar fuzzy subalgebra and k-fold bipolar fuzzy ideal are introduced, and related properties are investigated. Characterizations of k-fold bipolar fuzzy subalgebra/ideal are considered, and relations between k-fold bipolar fuzzy subalgebra and k-fold bipolar fuzzy ideal are displayed. Extension of k-fold bipolar fuzzy subalgebra is discussed.
MSC:
06F35; 03G25; 08A72
1. Introduction
A fuzzy set is introduced in [], and it deals with uncertainty connected with perceptions, preferences, and imprecision of states. Fuzzy logic and many-valued logic, etc. are contained in nonclassical logic, and it takes the advantage of the classical logic to handle information with various facets of uncertainty (see [] for a generalized theory of uncertainty), such as randomness, fuzziness, and so on. Nonclassical logic has become a formal and useful tool for computer science to deal with fuzzy and uncertain information. The bipolar fuzzy set introduced by Lee [] was built on the space . A bipolar fuzzy set is presented for cognitive modeling and multiagent decision analysis. In many areas of information processing, bipolarity is a key feature to be considered, indicating that positive information is possible or preferred and that negative information is forbidden or certainly false. A bipolar fuzzy set is an extension of a fuzzy set in which the membership degree range is . The notion of a bipolar fuzzy finite state machine, which is a generalization of a fuzzy finite state machine, was introduced by Jun et al. in []. They introduced the concepts of a bipolar exchange property, a bipolar (immediate) successor, and a bipolar subsystem. They also considered a condition for a bipolar fuzzy finite state machine to satisfy the bipolar exchange property and established a characterization of a bipolar subsystem. Lee [] introduced the concept of bipolar fuzzy subalgebras/ideals of a BCK/BCI-algebra, and investigated several properties. She gave relations between a bipolar fuzzy subalgebra and a bipolar fuzzy ideal and provided a condition for a bipolar fuzzy subalgebra to be a bipolar fuzzy ideal. She also gave characterizations of a bipolar fuzzy ideal and considered the concept of equivalence relations on the family of all bipolar fuzzy ideals of a BCK/BCI-algebra. Lee and Jun [] introduced the notion of bipolar fuzzy a-ideals of BCI-algebras and investigated their properties. They discussed relations between bipolar fuzzy subalgebras, bipolar fuzzy ideals, and bipolar fuzzy a-ideals. They gave conditions for a bipolar fuzzy ideal to be a bipolar fuzzy a-ideal and considered characterizations of bipolar fuzzy a-ideals. Jun et al. [,,,] discussed several types of bipolar fuzzy ideals in hyper BCK-algebras. Kang [] introduced the concepts of bipolar fuzzy hyper MV-subalgebras, (weak) bipolar fuzzy hyper MV-deductive systems and previously weak bipolar fuzzy hyper MV-deductive systems and investigated their relations/properties. He provided characterizations of bipolar fuzzy hyper MV-subalgebras and weak bipolar fuzzy hyper MV-deductive systems. Akram et al. [] introduced certain notions of bipolar fuzzy soft graphs and investigated some of their properties. They presented several applications of the bipolar fuzzy soft graphs in a multiple criteria decision-making problem. Akram et al. [] introduced certain notions including bipolar fuzzy graph structure (BFGS), strong bipolar fuzzy graph structure, bipolar fuzzy -cycle, bipolar fuzzy -tree, bipolar fuzzy -cut vertex, and bipolar fuzzy -bridge and illustrated these notions by several examples. Yang et al. [] used the bipolar multi-fuzzy soft set in analyzing a decision-making problem.
In this paper, we think of the problem of folding bipolar fuzzy set. We fold the bipolar fuzzy set k times and introduce the (translated) k-fold bipolar fuzzy set. Then, we apply it to BCK/BCI-algebras. We introduce the notion of k-fold bipolar fuzzy subalgebra and k-fold bipolar fuzzy ideal and investigate several properties. We investigate relations between k-fold bipolar fuzzy subalgebra and k-fold bipolar fuzzy ideal. We provide conditions for k-fold bipolar fuzzy subalgebra to be k-fold bipolar fuzzy ideal. We consider characterizations of k-fold bipolar fuzzy subalgebra/ideal. We also introduce the extension of k-fold bipolar fuzzy set and discuss their properties.
2. Preliminaries
A BCK/BCI-algebra is a class of logical algebras introduced by K. Iséki (see [,]) and was extensively studied by several researchers.
A BCI-algebra is defined to be a set W with a binary operation ∗ and a special element 0 that satisfies the next conditions:
- (I)
- (II)
- (III)
- (IV)
If a BCI-algebra W satisfies the following identity:
- (V)
then we say W is a BCK-algebra. Any BCK/BCI-algebra W has the next conditions:
where if and only if A subset S of a BCK/BCI-algebra W is called a subalgebra of W if for all A subset D of a BCK/BCI-algebra W is called an ideal of W if it satisfies the following:
See the books in [,] for more information on BCK/BCI-algebras.
3. Foldness of Bipolar Fuzzy Sets
In what follows, let be an ith projection for , where k is a natural number unless otherwise specified. Every element of is denoted by . We define an order relation “≪” on by
for all . If
is not true, we denote it by .
Definition 1.
Let W be a universal set. By a k-fold bipolar fuzzy set over W, we mean a pair in which
that is, a k-fold bipolar fuzzy set over W is an object having the form
where and are mappings.
For a k-fold bipolar fuzzy set over W and , we define the following:
They are called the negative cut and positive cut of , respectively, for . For every , the set
is called the -cut of for .
For two k-fold bipolar fuzzy sets and over W, the union of and is a k-fold bipolar fuzzy set over W in which
where
and
The intersection of and is a k-fold bipolar fuzzy set over W, in which
where
and
4. -Fold Bipolar Fuzzy Subalgebras
Definition 2.
Let W be a BCK/BCI-algebra. A k-fold bipolar fuzzy set over W is called a k-fold bipolar fuzzy subalgebra of W if
for all .
Example 1.
Consider a BCK-algebra with the binary operation ∗ in Table 1.
Table 1.
Cayley table for the binary operation “∗”.
Let be a 4-fold bipolar fuzzy set over W given by Table 2.
Table 2.
Tabular representation of “ℓ”.
It is routine to verify that is a 4-fold bipolar fuzzy subalgebra of W.
Example 2.
Consider a BCI-algebra with the binary operation ∗ in Table 3.
Table 3.
Cayley table for the binary operation “∗”.
Let be a 2-fold bipolar fuzzy set over W given by Table 4.
Table 4.
Tabular representation of “ℓ”.
It is routine to verify that is a 2-fold bipolar fuzzy subalgebra of W.
Proposition 1.
If is a k-fold bipolar fuzzy subalgebra of a BCK/BCI-algebra W, then for all . Moreover, if satisfies the following condition:
for all , then for all .
Proof.
For any , we have
Now, since , we get from Equation (11) the following:
This has completed the proof. ☐
Theorem 1.
Given a k-fold bipolar fuzzy set over a BCK/BCI-algebra W, the following assertions are equivalent:
- (1)
- is a k-fold bipolar fuzzy subalgebra of W.
- (2)
- The positive cut and negative cut of are subalgebras of W for all .
Proof.
Assume that is a k-fold bipolar subalgebra of W, and let be such that and for all . Then , , and . It follows that
i.e., and for all . Therefore, and are subalgebras of W for all .
Conversely, suppose that Assertion (2) is valid. If is not a k-fold bipolar subalgebra of W, then there exists such that
for some . If we take , and , then
or
This is a contradiction. Hence, is a k-fold bipolar fuzzy subalgebra of W. ☐
Corollary 1.
If is a k-fold bipolar fuzzy subalgebra of a BCK/BCI-algebra W, then is a subalgebra of W for all .
5. -Fold Bipolar Fuzzy Ideals
Definition 3.
Let W be a BCK/BCI-algebra. A k-fold bipolar fuzzy set over W is called a k-fold bipolar fuzzy ideal of W if it satisfies the following conditions:
and
for all .
Example 3.
Consider a BCK-algebra with the binary operation ∗ in Table 5.
Table 5.
Cayley table for the binary operation “∗”.
Let be a 3-fold bipolar fuzzy set over W given by Table 6.
Table 6.
Tabular representation of “ℓ”.
It is routine to verify that is a 3-fold bipolar fuzzy ideal of W.
Example 4.
Let be a k-fold bipolar fuzzy set over a BCI-algebra W in which ℓ is given by
where . It is routine to verify that is a k-fold bipolar fuzzy ideal of W.
Proposition 2.
Every k-fold bipolar fuzzy ideal of a BCK/BCI-algebra W satisfies the following:
for all with .
Proof.
Let be such that . Then , and thus,
This has completed the proof. ☐
Proposition 3.
Every k-fold bipolar fuzzy ideal of a BCK/BCI-algebra W satisfies the following assertion:
for all with and .
Proof.
Let be such that and . Then, and , and thus,
This has completed the proof. ☐
Proposition 4.
Given a k-fold bipolar fuzzy ideal of a BCK/BCI-algebra W, the following are equivalent.
- (1)
- (2)
for all .
Proof.
Suppose that Assertion (1) is valid, and let . Since , it follows from Equation (3), Assertion (1), and Proposition 3 that
Conversely, Assertion (1) is obtained by taking in Assertion (1) and using Condition (III) and Equation (1). ☐
Theorem 2.
In a BCK-algebra, every k-fold bipolar fuzzy ideal is a k-fold bipolar fuzzy subalgebra.
Proof.
Let be a k-fold bipolar fuzzy ideal of a BCK-algebra W, and let . Since and , it follows from Proposition 3 and Equation (13) that
Therefore, is a k-fold bipolar fuzzy subalgebra of W. ☐
The converse of Theorem 2 is not true in general. In fact, the 4-fold bipolar fuzzy subalgebra of W in Example 1 is not a 4-fold bipolar fuzzy ideal of W since
A condition for a k-fold bipolar subalgebra to be a k-fold bipolar ideal is given in the following theorem.
Theorem 3.
Let be a k-fold bipolar fuzzy subalgebra of a BCK-algebra W. If satisfies the condition of Equation (15) for all with , then is a k-fold bipolar fuzzy ideal of W.
Proof.
By Proposition 1, we know that
for all . Note that and for all . Thus,
for all . Therefore, is a k-fold bipolar fuzzy ideal of W. ☐
The following example shows that Theorem 2 is not true in BCI-algebras.
Example 5.
Let be a BCI-algebra and be the adjoint BCI-algebra of the additive group of integers. Then, the cartesian product of Y and is a BCI-algebra (see []). Let , where is the set of nonnegative integers, and define a k-fold bipolar fuzzy over W by
where
and
for . Then, is a k-fold bipolar fuzzy ideal of W. If we take and , then . Hence,
and/or
Therefore, is not a k-fold bipolar fuzzy subalgebra of W.
We provide a condition for which Theorem 2 is valid in BCI-algebras.
Theorem 4.
If a k-fold bipolar fuzzy ideal of a BCI-algebra W satisfies the following condition:
for all , then is a k-fold bipolar fuzzy subalgebra of W.
Proof.
Using Condition (III) and Equations (3) and (13), we have the following:
for all . Therefore, is a k-fold bipolar fuzzy subalgebra of W. ☐
Theorem 5.
A k-fold bipolar fuzzy set over a BCK/BCI-algebra W is a k-fold bipolar fuzzy ideal of W if and only if the positive cut and negative cut of are ideals of W for all .
Proof.
Assume that is a k-fold bipolar fuzzy ideal of W. Let be such that the positive cut and negative cut of are non-empty. Then, there exists and , and therefore, and . It follows from Equation (12) that
Hence, and for all . Let be such that , , and for all . Then, , , and . It follows from Equation (13) that
Hence, and . Therefore, and are ideals of W for all .
Conversely, suppose that the positive cut and negative cut of are ideals of W for all . If is not a k-fold bipolar ideal of W, then Equation (12) is false or Equation (13) is false. Assume that Equation (12) is false, that is,
for some . Then, or , which imply that or , where and . This is a contradiction, and so, Equation (12) is valid.
If Equation (13) is false, then there exists such that
for some . Taking , and induces the following:
or
This is a contradiction, and hence, Equation (13) is valid. Consequently, is a k-fold bipolar fuzzy ideal of W. ☐
Corollary 2.
If is a k-fold bipolar fuzzy ideal of a BCK/BCI-algebra W, then the intersection of the positive cut and negative cut of is an ideal of W for all . In particular, the -cut of is an ideal of W for all .
The following example shows that there exists such that, if is a k-fold bipolar fuzzy ideal of a BCK/BCI-algebra W, then the union of positive cut and negative cut of may not be an ideal of W.
Example 6.
Consider a BCI-algebra with the binary operation ∗ in Table 7.
Table 7.
Cayley table for the binary operation “∗”.
Let be a 5-fold bipolar fuzzy set over W given by Table 8.
Table 8.
Tabular representation of “ℓ”.
It is routine to verify that is a 5-fold bipolar fuzzy ideal of W and
which are not ideals of W for .
We provide conditions for the union of negative cut and positive cut of a k-fold bipolar fuzzy ideal to be an ideal of W.
Theorem 6.
If is a k-fold bipolar fuzzy ideal of W such that
for , then the union of negative cut and positive cut of is an ideal of W for all with .
Proof.
Let with . If is a k-fold bipolar fuzzy ideal of W, then and are ideals of W by Theorem 5. Hence, . Let be such that and . Then, we can consider the following four cases:
- (i)
- and ,
- (ii)
- and ,
- (iii)
- and ,
- (iv)
- and .
From cases (i) and (ii), we have and , respectively. For the third case, we get and . For the final case, we have and . It follows from Equations (13) and (18) that
Hence, , and so, . Therefore, is an ideal of W. ☐
6. Translated -Fold Bipolar Fuzzy Sets
For any k-fold bipolar fuzzy set over W, we denote
for .
Definition 4.
Let be a k-fold bipolar fuzzy set over W and . By a -translated k-fold bipolar fuzzy set of , we mean a k-fold bipolar fuzzy set over W in which
where
Theorem 7.
Every -translated k-fold bipolar fuzzy set of a k-fold bipolar fuzzy subalgebra is a k-fold bipolar fuzzy subalgebra.
Proof.
Let be a -translated k-fold bipolar fuzzy set of a k-fold bipolar fuzzy subalgebra . For any , we have
Therefore, is a k-fold bipolar fuzzy subalgebra of W. ☐
Theorem 8.
Let be a k-fold bipolar fuzzy set over W such that its -translated k-fold bipolar fuzzy set is a k-fold bipolar fuzzy subalgebra of W for some . Then, is a k-fold bipolar fuzzy subalgebra of W.
Proof.
Let be a -translated k-fold bipolar fuzzy set which is a k-fold bipolar fuzzy subalgebra of W for some . For any , we have
It follows that
Therefore, is a k-fold bipolar fuzzy subalgebra of W. ☐
Definition 5.
Let and be k-fold bipolar fuzzy sets over W. Then, is called an extension of based on a subalgebra (briefly, S-extension of ) if the following assertions are valid.
- (i)
- for all
- (ii)
- If is a k-fold bipolar fuzzy subalgebra of W, then is a k-fold bipolar fuzzy subalgebra of W.
Theorem 9.
Let be a k-fold bipolar fuzzy subalgebra of W, and let . Then, the -translated k-fold bipolar fuzzy set of is an S-extension of .
Proof.
For any , we have
Now, if is a k-fold bipolar fuzzy subalgebra of W, then is a k-fold bipolar fuzzy subalgebra of W by Theorem 7. Therefore, the -translated k-fold bipolar fuzzy set of is an S-extension of . ☐
The converse of Theorem 9 is not true in general, as seen in the following example.
Example 7.
Consider a BCK-algebra with the binary operation ∗ in Table 9.
Table 9.
Cayley table for the binary operation “∗”.
Let be a 2-fold bipolar fuzzy set over W given by Table 10.
Table 10.
Tabular representation of “ℓ”.
Then, is a 2-fold bipolar fuzzy subalgebra of W.
Let be a 2-fold bipolar fuzzy set over W given by Table 11.
Table 11.
Tabular representation of “𝚥”.
Then, is a 2-fold bipolar fuzzy subalgebra of W, which is an S-extension of . However, it is not the -translated one.
Theorem 10.
Let be a k-fold bipolar fuzzy subalgebra of W. If and are S-extensions of , then the intersection of and is also an S-extension of .
Proof.
For any , we have
Therefore, is an S-extension of . ☐
The following example shows that the union of two S-extensions of a k-fold bipolar fuzzy subalgebra of W may not be an S-extension of .
Example 8.
Consider a BCK-algebra with the binary operation ∗ in Table 12.
Table 12.
Cayley table for the binary operation “∗”.
Let be a 3-fold bipolar fuzzy set over W given by Table 13.
Table 13.
Tabular representation of “ℓ”.
Then, is a 3-fold bipolar fuzzy subalgebra of W.
Table 14.
Tabular representation of “𝚥”.
Table 15.
Tabular representation of “”.
Then, and are S-extensions of . The union of and is given by Table 16.
Table 16.
Tabular representation of “”.
We know that
since . Therefore is not S-extension of .
Let be a k-fold bipolar fuzzy sets over W, and consider the following sets:
where and for .
If is a k-fold bipolar fuzzy subalgebra of W, then it is clear that and are subalgebras of W for all with and for . However, if we do not give a condition that is a k-fold bipolar fuzzy subalgebra of W, then and/or are not subalgebras of W, as seen in the following example.
Example 9.
Consider the BCK-algebra which is given in Example 8. Let be a 2-fold bipolar fuzzy set over W given by Table 17.
Table 17.
Tabular representation of “ℓ”.
Then, is not a 2-fold bipolar fuzzy subalgebra of W since
If we take and , then is a subalgebra of W, but is not a subalgebra of W.
Theorem 11.
Let be a k-fold bipolar fuzzy set over W and . Then, the -translated k-fold bipolar fuzzy set of is a k-fold bipolar fuzzy subalgebra of W if and only if and are subalgebras of W for all with and for .
Proof.
Necessity is clear. To prove the sufficiency, assume that there exist such that
Then, or . It follows that
or
for some for . Hence, or , but or . This is a contradiction. Thus,
Therefore, is a k-fold bipolar fuzzy subalgebra of W. ☐
Theorem 12.
Let be a k-fold bipolar fuzzy subalgebra of W and let and . If , then the -translated k-fold bipolar fuzzy subalgebra of is an S-extension of the the -translated k-fold bipolar fuzzy subalgebra of .
Proof.
Let be the -translated k-fold bipolar fuzzy set of , and let be the -translated k-fold bipolar fuzzy set of . Since is a k-fold bipolar fuzzy subalgebra of W, it follows from Theorem 7 that and are k-fold bipolar fuzzy subalgebras of W. For any , we have
This has completed the proof. ☐
7. Conclusions
The traditional fuzzy set expression cannot distinguish between elements unrelated to the opposite. It is difficult to express differences in components unrelated to the opposing elements in the fuzzy set only if the membership extends over the interval [0, 1]. If a set expression can express this kind of difference, it will be more beneficial than a traditional fuzzy set expression. Based on these observations, Lee introduced an extension of the fuzzy set called the bipolar value fuzzy set in his paper []. This concept is being applied from various angles to algebraic structure and applied science, etc. The purpose of this paper is to study the folding of bipolar value fuzzy sets in BCK/BCI-algebras. We have first introduced the notion of k-fold bipolar fuzzy set over a universe and have applied it BCK/BCI-algebras. We have introduced the k-fold bipolar fuzzy subalgebra and the k-fold bipolar fuzzy ideal of BCK/BCI-algebras and have investigated several properties. We have discussed relations between k-fold bipolar fuzzy subalgebra and k-fold bipolar fuzzy ideal and have provided conditions for k-fold bipolar fuzzy subalgebra to be k-fold bipolar fuzzy ideal. We have considered characterizations of k-fold bipolar fuzzy subalgebra/ideal and have introduced the extension of k-fold bipolar fuzzy set. In upcoming research and papers, we will continue to think of these and to define new concepts in some algebraic structures.
Author Contributions
Create and conceptualize ideas, Y.B.J. and S.-Z.S.; writing—original draft preparation, Y.B.J.; writing—review and editing, S.-Z.S.; funding acquisition, S.-Z.S.
Funding
This research was supported by Basic Science Research Program to RIBS of Jeju National University through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2019R1A6A1A10072987).
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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