1. Introduction
In abstract algebra, an algebraic structure on a set
F is a collection of finitary operations on
F, and the set
F with this structure is also called an algebra. BCK/BCI-algebra are algebraic structures, introduced by Y. Imai, K. Iséki and S. Tanaka in 1966, that describe fragments of the propositional calculus involving implication known as BCK and BCI logics. In 1966, Iseki et al. [
1,
2,
3] introduced BCK and BCI-algebras as algebraic structures which describe fragments of proposition calculus that include implication known as BCK and BCI logics. BCK/BCI-algebras have been applied in many areas, in particular BCK-algebra is applied to coding theory (see [
4,
5,
6]). In the fuzzy set which is introduced by Zadeh [
7], the membership degree is expressed by only one function, the so-called truth function. When there is an election to elect members of a city, the issue of voters choosing candidates is explained by a fuzzy set. However, by means of the fuzzy set we cannot consider the number that corresponds to the part of electorate who have not voted for the elected member. We also feel the need to consider voters who have not voted for elected members of the national assembly. This part also can be expressed using fuzzy sets. If we use fuzzy sets to express this part, we can show the part of the electorate who have not voted at all and the corresponding number. As such, we can think of an intuitionistic fuzzy set, which was introduced by Atanassove [
8], as a good mathematical tool to represent both voters who have supported a candidate and those who have not. intuitionistic fuzzy set are a generalization of a fuzzy set, and use a membership function and nonmembership function. The membership (respectively, nonmembership) function represents the truth (respectively, false) part. An
m-polar fuzzy set, an extension of a bipolar fuzzy set, was introduced by Chen et al. [
9] in 2014. After that, this concept was applied to BCK/BCI-algebra (see [
10,
11,
12]), graph theory (see [
13,
14,
15,
16]), and decision making problems (see [
17,
18,
19,
20]).
In this paper, we introduce the notion of multipolar intuitionistic fuzzy set with finite degree (briefly, k-polar intuitionistic fuzzy set) and apply it to BCK/BCI-algebras. We introduce the concepts of a k-polar intuitionistic fuzzy subalgebra and a (closed) k-polar intuitionistic fuzzy ideal in a BCK/BCI-algebra, and investigate several properties. We investigate relations between a k-polar intuitionistic fuzzy subalgebra and a (closed) k-polar intuitionistic fuzzy ideal, and provide a characterization of a k-polar intuitionistic fuzzy subalgebra/ideal. We provide conditions for a k-polar intuitionistic fuzzy subalgebra to be a k-polar intuitionistic fuzzy ideal. In a BCI-algebra, We consider the relationship between a k-polar intuitionistic fuzzy ideal and a closed k-polar intuitionistic fuzzy ideal, and discuss the characterization of a closed k-polar intuitionistic fuzzy ideal. We consult conditions for a k-polar intuitionistic fuzzy ideal to be a closed k-polar intuitionistic fuzzy ideal in a BCI-algebra.
2. Preliminaries
In this section, we describe the known contents of BCK/BCI-algebra as necessary for the development of this paper.
If a set F has a special element 0 and a binary operation * satisfying the conditions:
- (I)
- (II)
- (III)
- (IV)
,
then we say that F is a BCI-algebra. If a BCI-algebra F satisfies the following identity:
- (V)
then F is called a BCK-algebra. A BCI-algebra F is said to be p-semisimple if its p-radical is .
Any BCK/BCI-algebra
F satisfies the following conditions:
where
if and only if
In a BCI-algebra
F, the following equalities are valid.
A subset
S of a BCK/BCI-algebra
F is called a subalgebra of
F if
for all
A subset
I of a BCK/BCI-algebra
F is called an ideal of
F if it satisfies:
See the books [
21,
22] for more information on BCK/BCI-algebras.
For any family
of real numbers, we define
If , we will also use and instead of and , respectively.
By a
k-polar fuzzy set on a set
F (see [
9]), we mean a function
where
k is a natural number. The membership value of every element
is denoted by
where
is the
i-th projection for all
.
Given a
k-polar fuzzy set on a set
F, we consider the set
that is,
which is called a
k-polar level set of
.
Definition 1. ([
10] [Definition 3.1])
A k-polar fuzzy set on a BCK/BCI-algebra F is called a k-polar fuzzy subalgebra of F if the following condition is valid.that is,for all . Definition 2. ([
10] [Definition 3.7])
A k-polar fuzzy set on a BCK/BCI-algebra F is called a k-polar fuzzy ideal of F if the following conditions are valid.that is,for all . 3. k-Polar Intuitionistic Fuzzy Subalgebras/Ideals
In this section, we consider the finite polarity of intuitionistic fuzzy set, and apply it to BCK/BCI-algebras. We introduce the notions of a k-polar intuitionistic fuzzy subalgebra and a k-polar intuitionistic fuzzy ideal of a BCK/BCI-algebra, and discuss their characterizations.
Definition 3. A multipolar intuitionistic fuzzy set with finite degree k (briefly, k-polar intuitionistic fuzzy set) over a universe F is a mappingwhere and are k-polar fuzzy sets over a universe F such that for all , that is,for all and . Given a
k-polar intuitionistic fuzzy set
over a universe
F, we consider the sets
where
and
with
, that is,
and
which is called a
k-polar upper (resp., lower) level set of
. It is clear that
and
where
If there is no specific mention from here, F stands for a BCK/BCI-algebra.
Definition 4. A k-polar intuitionistic fuzzy set over F is called a k-polar intuitionistic fuzzy subalgebra of F if the following assertion is valid.that is,andfor all and . Example 1. Let be a set with the binary operation “*” which is given in Table 1. Then is a BCK-algebra (see [22]). Let be a k-polar intuitionistic fuzzy set over F given by It is routine to verify that is a four-polar intuitionistic fuzzy subalgebra of F.
We consider characterizations of a k-polar intuitionistic fuzzy subalgebra.
Theorem 1. A k-polar intuitionistic fuzzy set over F is a k-polar intuitionistic fuzzy subalgebra of F if and only if and are k-polar fuzzy subalgebras of F where , i.e., .
Proof. Assume that
is a
k-polar intuitionistic fuzzy subalgebra of
F. Then it is clear that
is a
k-polar fuzzy subalgebra of
F. For any
, we have
Thus is a k-polar fuzzy subalgebra of F.
Conversely, suppose that
and
are
k-polar fuzzy subalgebras of
F and let
. Using (
10), we have
. Moreover, we get
that is,
. Therefore
is a
k-polar intuitionistic fuzzy subalgebra of
F. □
Theorem 2. A k-polar intuitionistic fuzzy set over F is a k-polar intuitionistic fuzzy subalgebra of F if and only if its k-polar upper level set and k-polar lower level set are subalgebras of F for all with .
Proof. Assume that
is a
k-polar intuitionistic fuzzy subalgebra of
F. Let
and
. Then
,
,
and
for all
. It follows that
and
for all
. Hence
and
. Therefore
and
are subalgebras of
F.
Conversely let
be a
k-polar intuitionistic fuzzy set over
F such that its
k-polar upper level set
and
k-polar lower level set
are subalgebras of
F for all
with
. Suppose that condition (
18) is not valid. Then
or
for some
and
. Then
and
for
. Moreover,
and
for
. This is a contradiction, and thus
is a
k-polar intuitionistic fuzzy subalgebra of
F. □
Proposition 1. Every k-polar intuitionistic fuzzy subalgebra of F satisfies the following assertion.that is, and for . Proof. It is straightforward by putting
in (
18). □
Proposition 2. In a BCI-algebra, every k-polar intuitionistic fuzzy subalgebra of F satisfies the following assertion.that is, and for . Proof. It is straightforward by using (
19). □
Given a
k-polar intuitionistic fuzzy set
over
F and
, we consider the sets:
and
Then
and
where
and
for
.
Theorem 3. If is a k-polar intuitionistic fuzzy subalgebra of F, then the sets and are subalgebras of F for all .
Proof. Let and . Then
, , and .
It follows from (
18) that
and
for all
. Hence
and
. Therefore
and
are subalgebras of
F for all
. □
Definition 5. A k-polar intuitionistic fuzzy set over F is called a k-polar intuitionistic fuzzy ideal of F if it satisfies the condition (19) andthat is,andfor all and . Example 2. Let be a set with the binary operation “*” which is given in Table 2. Then is a BCK-algebra (see [22]). Let be a four-polar intuitionistic fuzzy set over F given by
It is routine to verify that is a four-polar intuitionistic fuzzy ideal of F.
Proposition 3. If is a k-polar intuitionistic fuzzy ideal of F, then is order-reversing and is order-preserving.
Proof. Straightforward. □
Proposition 4. Every k-polar intuitionistic fuzzy ideal of F satisfies the following assertion.that is,andfor . Proof. For any
, let
be such that
. Then
, and so
and
This completes the proof. □
We provide characterizations of k-polar intuitionistic fuzzy ideal.
Theorem 4. For a k-polar intuitionistic fuzzy set over F, the following are equivalent.
- (i)
is a k-polar intuitionistic fuzzy ideal of F.
- (ii)
The sets and are ideals of F for all .
Proof. Assume that
is a
k-polar intuitionistic fuzzy ideal of
F. It is clear that
and
. Let
be such that
,
,
and
. Then
,
,
and
, that is,
,
.
and
for all
. It follows that
and
for all
. Hence
and
. Therefore
and
are ideals of
F for all
.
Conversely suppose that (ii) is valid. If
or
for some
, then
or
for some
. Thus
or
which is a contradiction. Hence
satisfies the condition (
19). Suppose that
for some
. Then
for some
. It follows that
and
which implies that
since
is an ideal of
F. Hence
which is a contradiction. If
for some
, then
for some
. Thus
and
. Since
is an ideal of
F, it follows that
, that is,
. This is a contradiction. This shows that
satisfies the condition (
21). Therefore
is a
k-polar intuitionistic fuzzy ideal of
F. □
Theorem 5. A k-polar intuitionistic fuzzy set over F is a k-polar intuitionistic fuzzy ideal of F if and only if and are k-polar fuzzy ideals of F where , i.e., .
Proof. Let
be a
k-polar intuitionistic fuzzy ideal of
F. It is clear that
is a
k-polar fuzzy ideal of
F. Let
. Then
and
Thus is a k-polar fuzzy ideal of F.
Conversely, suppose that
and
are
k-polar fuzzy ideals of
F. For any
, we have
,
,
, i.e.,
and
that is,
. Therefore
is a
k-polar intuitionistic fuzzy ideal of
F. □
The following corollary is an immediate consequence of Theorem 5.
Corollary 1. Let be a k-polar intuitionistic fuzzy set over F. Then is a k-polar intuitionistic fuzzy ideal of F if and only if the necessary operator and the possibility operator of are k-polar intuitionistic fuzzy ideals of F.
4. Relations between a k-Polar Intuitionistic Fuzzy Subalgebra and a k-Polar Intuitionistic Fuzzy Ideal
In this section, We provide a relation between a k-polar intuitionistic fuzzy subalgebra and a k-polar intuitionistic fuzzy ideal. We find an example to show that a k-polar intuitionistic fuzzy subalgebra may not be a k-polar intuitionistic fuzzy ideal in a BCK-algebra, and then we provide conditions for a k-polar intuitionistic fuzzy subalgebra to be a k-polar intuitionistic fuzzy ideal in a BCK/BCI-algebra. We define a concept of a closed k-polar intuitionistic fuzzy ideal in a BCI-algebra, and investigate relation between a k-polar intuitionistic fuzzy ideal and a closed k-polar intuitionistic fuzzy ideal. We find conditions for a k-polar intuitionistic fuzzy ideal to be closed.
Theorem 6. In a BCK-algebra, every k-polar intuitionistic fuzzy ideal is a k-polar intuitionistic fuzzy subalgebra.
Proof. Let
be a
k-polar intuitionistic fuzzy ideal of a BCK-algebra
F. Since
for all
, we have
and
for
by Proposition 3. It follows from (
21) that
and
for all
and
. Therefore
is a
k-polar intuitionistic fuzzy subalgebra of
F. □
In the following example, we can see that the converse of Theorem 6 does not have a role.
Example 3. The four-polar intuitionistic fuzzy subalgebra in Example 1 is not a four-polar intuitionistic fuzzy ideal of F since We provide conditions for a k-polar intuitionistic fuzzy subalgebra to be a k-polar intuitionistic fuzzy ideal.
Theorem 7. If a k-polar intuitionistic fuzzy subalgebra of F satisfies the condition (22), then is a k-polar intuitionistic fuzzy ideal of F. Proof. By Proposition 1,
satisfies the condition (
19). Since
for all
, it follows from (
22) that
and
. Therefore
is a
k-polar intuitionistic fuzzy ideal of
F. □
In general, the inverse of Theorem 6 is not established even in a BCI-algebra. We want to give a condition for the inverse of Theorem 6 to be established in a BCI-algebra.
Theorem 8. In a p-semisimple BCI-algebra, every k-polar intuitionistic fuzzy subalgebra is a k-polar intuitionistic fuzzy ideal.
Proof. Let
be a
k-polar intuitionistic fuzzy subalgebra of a
p-semisimple BCI-algebra
F. Then it satisfies the condition (
19) by Proposition 1. Let
. Note that
. Since
F is
p-semisimple, every element is minimal. Hence
, which implies from (
18) and (
19) that
and
for all
. Therefore
is a
k-polar intuitionistic fuzzy ideal of
F. □
Corollary 2. Let F be a BCI-algebra in which any one of the following conditions is valid.
- (1)
.
- (2)
.
- (3)
.
- (4)
.
- (5)
.
- (6)
F satisfies the left cancellation law.
Then every k-polar intuitionistic fuzzy subalgebra is a k-polar intuitionistic fuzzy ideal.
The following example shows that Theorem 6 does not hold in a BCI-algebra.
Example 4. Let be a BCI-algebra and be the adjoint BCI-algebra of the additive group of integers. Consider the BCI-algebra which is the direct product of Y and . If we put where is the set of all nonnegative integers, then A is an ideal of F. Let be a k-polar intuitionistic fuzzy set over F given bywhere , such that . Then is a k-polar intuitionistic fuzzy ideal of F. If we take and , then . Hence and . Therefore is not a k-polar intuitionistic fuzzy subalgebra of F. Definition 6. A k-polar intuitionistic fuzzy set over a BCI-algebra F is called a closed k-polar intuitionistic fuzzy ideal of F if it satisfies (21) andthat is, and for all and . Example 5. Let be a set with the binary operation “*” which is given in Table 3. Then is a BCI-algebra (see [21]). Let be a three-polar intuitionistic fuzzy set over F given by It is routine to verify that is a closed three-polar intuitionistic fuzzy ideal of F.
Theorem 9. In a BCI-algebra, every closed k-polar intuitionistic fuzzy ideal is a k-polar intuitionistic fuzzy ideal.
Proof. Let
be a closed
k-polar intuitionistic fuzzy ideal of a BCI-algebra
F. If we put
and
in (
21) and use (
24), then we get (
19). Hence
is a
k-polar intuitionistic fuzzy ideal of
F. □
The converse of Theorem 9 is not true as seen in the following example.
Example 6. Let be a set with a binary operation “÷” (usual division). Then F is a BCI-algebra. Let be a two-polar intuitionistic fuzzy set over F given bywhere and for . Then is a two-polar intuitionistic fuzzy ideal of F, but it is not closed since and/or . We provide conditions for a k-polar intuitionistic fuzzy ideal to be closed.
Theorem 10. Let be a k-polar intuitionistic fuzzy ideal of a BCI-algebra F. Then is closed if and only if it is a k-polar intuitionistic fuzzy subalgebra of F.
Proof. Assume that
is a closed
k-polar intuitionistic fuzzy ideal of a BCI-algebra
F. Using (
21), (3), (III) and (
24), we have
and
for all
and
. Therefore
is a
k-polar intuitionistic fuzzy subalgebra of
F.
Conversely suppose that
is a
k-polar intuitionistic fuzzy subalgebra of
F. Then
and
for all
and
. Therefore
is a closed
k-polar intuitionistic fuzzy ideal of
F. □
Let
F be a BCI-algebra and
. For any
and
, we define
by
Given an element
w of a BCI-algebra
F, if
for some
, then we say that
w is of finite periodic (see [
23]), and we denote its period
by
Otherwise, w is of infinite period and denoted by .
Theorem 11. Let F be a BCI-algebra in which every emenent is of finite period. Then every k-polar intuitionistic fuzzy ideal is closed.
Proof. Let
be a
k-polar intuitionistic fuzzy ideal of
F. For any
, let
. Then
. Using (
19), we have
and
It follows from (
21) that
Note that
which implies from (
25) that
Continuing this process, we obtain and for all . Therefore is a closed k-polar intuitionistic fuzzy ideal of F. □
5. Conclusions
The intuitionistic fuzzy set, which was introduced by Atanassove, is a generalization of the fuzzy set, that is, Atanassov’s intuitionistic fuzzy sets are an extension of Zadeh’s fuzzy sets. The intuitionistic fuzzy set is a very useful mathematical tool for accessing an event in two directions simultaneously. The bipolar fuzzy set is a mathematical tool that can be useful for accessing a single event simultaneously on both the positive and negative aspects. By converting a negative approach to a positive approach in the bipolar fuzzy set and generalizing it, Chen et al. introduced an m-polar fuzzy set in 2014. Since then, this concept has been applied to graph theory, decision making problem, BCK/BCI-algebra, and other domains. In our lives, events that are difficult to solve even though we approach them in two directions at the same time are occurring in many ways. To solve this, we need a more diverse approach. In light of the fact that mathematics is a basic science that can be useful in several sciences, it is necessary to develop mathematical tools to address everyday difficulties that may arise in any case. Based on this need, we have introduced the multipolar intuitionistic fuzzy set with finite degree (briefly, k-polar intuitionistic fuzzy set), which generalized the intuitionistic fuzzy set in this paper, and have applied it to BCK/BCI-algebra. We have introduced the notions of a k-polar intuitionistic fuzzy subalgebra and a (closed) k-polar intuitionistic fuzzy ideal in a BCK/BCI-algebra, and have investigated several properties. We have discussed relations between a k-polar intuitionistic fuzzy subalgebra and a (closed) k-polar intuitionistic fuzzy ideal, and have provided a characterization of a k-polar intuitionistic fuzzy subalgebra/ideal. We have given conditions for a k-polar intuitionistic fuzzy subalgebra to be a k-polar intuitionistic fuzzy ideal. In a BCI-algebra, We have considered the relationship between a k-polar intuitionistic fuzzy ideal and a closed k-polar intuitionistic fuzzy ideal, and have discussed the characterization of a closed k-polar intuitionistic fuzzy ideal. We have consulted conditions for a k-polar intuitionistic fuzzy ideal to be a closed k-polar intuitionistic fuzzy ideal in a BCI-algebra.