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Article

Bipolar Fuzzy Set Theory Applied to the Certain Ideals in BCI-Algebras

1
Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
2
Department of Mathematics, Faculty of Science, University of Tabuk, P.O. Box 741, Tabuk 71491, Saudi Arabia
3
Department of Mathematics and Physics, Gezira University, P.O. Box 20, Wad Medani 2667, Sudan
4
Department of Mathematics, Madanapalle Institute of Technology & Science, Madanapalle 517325, India
*
Author to whom correspondence should be addressed.
Symmetry 2022, 14(4), 815; https://doi.org/10.3390/sym14040815
Submission received: 21 March 2022 / Revised: 8 April 2022 / Accepted: 12 April 2022 / Published: 14 April 2022
(This article belongs to the Special Issue The Study of Lattice Theory and Universal Algebra)

Abstract

:
The study of symmetry is one of the most important and beautiful themes uniting various areas of contemporary arithmetic. Algebraic structures are useful structures in pure mathematics for learning a geometrical object’s symmetries. In this paper, we introduce new concepts in an algebraic structure called BCI-algebra, where we present the concepts of bipolar fuzzy (closed) BCI-positive implicative ideals and bipolar fuzzy (closed) BCI-commutative ideals of BCI-algebras. The relationship between bipolar fuzzy (closed) BCI-positive implicative ideals and bipolar fuzzy ideals is investigated, and various conditions are provided for a bipolar fuzzy ideal to be a bipolar fuzzy BCI-positive implicative ideal. Furthermore, conditions are presented for a bipolar fuzzy (closed) ideal to be a bipolar fuzzy BCI-commutative ideal.

1. Introduction

The study of symmetry is one of the most important and beautiful themes uniting various areas of contemporary arithmetic. Algebraic structures are useful structures in pure mathematics for learning a geometrical object’s symmetries. For example, the most important functions in ring theory are those that preserve the ring operation, which are referred to as homomorphism. Another algebraic structure viz. the theory of groups is also used to provide a broad theory of symmetry. There are various sorts of symmetries that may be studied using the theory of groups, which is already widely utilized as an algebraic tool.
The B C I -algebras and B C K -algebas are important classes of logical algebras (see [1,2,3,4] for more details). The notion of fuzzy sets and various operations on it were initially introduced by Zadeh in [5] (see [6,7] for more information on fuzzy sets). Many studies have been done on fuzzy set structure. For example, fuzzy ideals in B C I -algebras were studied by Liu in [8]. In [9], Meng et al. introduced the concept of “fuzzy implicative ideals” of B C K -algebras while Jun [10] gave the notion of “closed fuzzy ideals” in B C I -algebras. Kordi et al. studied fuzzy (p-ideals, H-ideals, BCI-positive implicative ideals) [11], and Jun et al. [12] considered fuzzy commutative ideals in B C I -algebras.
In 1998, Zhang was the first to initiate the concept of bipolar fuzzy sets [13] as a generalization of fuzzy sets, which were introduced by Zadeh in 1965, and later, the author introduced bipolar fuzzy logic [14]. Fuzzy sets characterize each element in a given set over a unit interval while the bipolar fuzzy sets characterize the elements over the extended interval [ 1 , 1 ] . Intuitionistic fuzzy sets characterize elements over the interval [ 0 , 1 ] such that the sum of the membership degree and non-membership degree ranges over the interval [ 0 , 1 ] . We refer the reader to Lee’s paper [15] where a nice comparison between these concepts is made. In BCH-algebras, Jun et al. [16] investigated the ideas of bipolar fuzzy subalgebras and bipolar fuzzy closed ideals. Muhiuddin et al. [17] established the ideas of bipolar fuzzy closed, bipolar fuzzy positive implicative, and bipolar fuzzy implicative ideals of BCK-algebras. The concept of bipolar fuzzy a-ideals of BCI-algebras was proposed by Lee and Jun [18]. The ideas of doubt bipolar fuzzy subalgebras and (closed) doubt bipolar fuzzy ideals were developed, and the associated characteristics of these notions were studied by Al-Masarwah [19]. Jana et al. [20] proposed ( , q ) -bipolar fuzzy subalgebras and ( , q ) -bipolar fuzzy ideals, which were described in terms of ∈-bipolar fuzzy soft sets and q-bipolar fuzzy soft sets of BCK/BCI-algebras. Different aspects in bipolar fuzzy structures have been studied in different algebras by many authors (see for e.g., [21,22,23,24,25,26,27,28,29,30,31,32,33,34]). More concepts related to this study have been studied in [35,36,37,38].
Motivated by the work done in this area, and using the notion introduced by Liu et al. [39], Al-Kadi et al. introduced, in [40], the notion of bipolar fuzzy B C I -implicative ideals of a B C I -algebra. That is, a bipolar fuzzy set U ˜ = ( U n ˜ , U p ˜ ) in a B C I -algebra Ω is said to be a bipolar fuzzy B C I -implicative ideal if it satisfies the following assertions: (1) U n ˜ ( 0 ) U n ˜ ( ϑ ) , U p ˜ ( 0 ) U p ˜ ( ϑ ) , (2) U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( ( ( ( ϑ κ ) κ ) ( 0 κ ) ) ) U n ˜ ( ) , and (3) U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( ( ( ( ϑ κ ) κ ) ( 0 κ ) ) ) U p ˜ ( ) , ϑ , κ , Ω .
In this paper, we continue to study bipolar fuzzy structure of different kinds of ideals in B C I -algebras. In fact, the notions of bipolar fuzzy (closed) BCI-positive implicative ideals and bipolar fuzzy (closed) BCI-commutative ideals of BCI-algebras are introduced. The associated characteristics of bipolar fuzzy (closed) BCI-positive implicative ideals and bipolar fuzzy ideals are considered, and several conditions are presented under which a bipolar fuzzy ideal becomes a bipolar fuzzy BCI-positive implicative ideal. Furthermore, certain conditions are given under which a bipolar fuzzy (closed) ideal is a bipolar fuzzy BCI-commutative ideal.

2. Preliminaries

In this section, we collect the following notions to develop our main results.
Definition 1.
A nonempty set “ Ω ” together with a binary operation “*" and a constant 0 is called a “ B C I -algebra" if it satisfies the following conditions; for all ϑ , κ , Ω ,
(K1)
( ( ϑ κ ) ( ϑ ) ) ( κ ) = 0 ,
(K2)
( ϑ ( ϑ κ ) ) κ = 0 ,
(K3)
ϑ ϑ = 0 ,
(K4)
ϑ κ = 0 and κ ϑ = 0 ϑ = κ .
The following are true in a B C I -algebra Ω .
(P1)
ϑ 0 = ϑ
(P2)
( ϑ κ ) = ( ϑ ) κ
(P3)
ϑ κ ϑ κ and κ ϑ
(P4)
0 ( ϑ κ ) = ( 0 ϑ ) ( 0 κ )
(P5)
0 ( 0 ( ϑ κ ) ) = 0 ( κ ϑ )
(P6)
( ϑ ) ( κ ) ( ϑ κ )
(P7)
ϑ ( ϑ ( ϑ κ ) ) = ϑ κ
for any ϑ , κ , Ω (see [3] for more details).
For brevity, Ω denotes a B C I -algebra. We remind the reader of the following definitions that are taken from [8,12,41,42].
A nonempty subset A of Ω is called an i d e a l of Ω if it satisfies
(I1)
0 A ,
(I2)
ϑ , κ Ω , ϑ κ A , κ A ϑ A .
A nonempty subset A of Ω is called a B C I - p o s i t i v e i m p l i c a t i v e i d e a l of Ω if it satisfies ( I 1 ) and
(I3)
ϑ , κ , Ω , ( ( ϑ ) ) ( κ ) A , κ A ϑ A .
A nonempty subset A of Ω is called a B C I - c o m m u t a t i v e i d e a l of Ω if it satisfies ( I 1 ) and
(I4)
ϑ , κ , Ω , ( ϑ κ ) A , A ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) A .
A fuzzy set U ˜ in Ω is a map from Ω to [ 0 , 1 ] . A fuzzy set U ˜ in Ω is called a f u z z y i d e a l of Ω if it satisfies for all ϑ , κ , Ω ,
(F1)
U ˜ ( 0 ) U ˜ ( ϑ ) , and
(F2)
U ˜ ( ϑ ) U ˜ ( ϑ κ ) U ˜ ( κ ) .
A fuzzy set U ˜ in Ω is called a f u z z y B C I - p o s i t i v e i m p l i c a t i v e i d e a l of Ω if it satisfies for all ϑ , κ , Ω , ( F 1 ) and ( F 3 ) U ˜ ( ϑ ) U ˜ ( ( ( ϑ ) ) ( κ ) ) U ˜ ( κ ) .
A fuzzy set U ˜ in Ω is called a f u z z y B C I - c o m m u t a t i v e i d e a l of Ω if it satisfies for all ϑ , κ , Ω , ( F 1 ) and ( F 4 ) U ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) U ˜ ( ( ϑ κ ) ) U ˜ ( ) .
A bipolar fuzzy set in Ω is denoted by U ˜ = ( U n ˜ , U p ˜ ) , where U n ˜ : Ω [ 1 , 0 ] and U p ˜ : Ω [ 0 , 1 ] .
Definition 2
([28]). A bipolar fuzzy set U ˜ = ( U n ˜ , U p ˜ ) in Ω is called a b i p o l a r f u z z y i d e a l of Ω if it satisfies the following assertions:
(BF1)
( ϑ Ω ) ( U n ˜ ( 0 ) U n ˜ ( ϑ ) , U p ˜ ( 0 ) U p ˜ ( ϑ ) ) ;
(BF2)
( ϑ , κ Ω ) U n ˜ ( ϑ ) U n ˜ ( ϑ κ ) U n ˜ ( κ ) ;
(BF3)
( ϑ , κ Ω ) U p ˜ ( ϑ ) U p ˜ ( ϑ κ ) U p ˜ ( κ ) .

3. Bipolar Fuzzy BCI-Positive Implicative Ideal

In this section, we begin with the following definition to obtain our results.
Definition 3.
A BFS U ˜ = ( U n ˜ , U p ˜ ) in Ω is said to be a bipolar fuzzy BCI-positive implicative ideal (BF-BCI-PII) of Ω if it satisfies ( B F 1 ) and
(BF7)
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( κ ) ) U n ˜ ( κ ) ,
(BF8)
U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) U p ˜ ( κ ) ,
ϑ , κ , Ω .
Example 1.
Consider a B C I -algebra Ω = { 0 , j , k } under the * operation defined by table:
*0jk
00kj
jj0k
kkj0
Define a BFS U ˜ = ( U n ˜ , U p ˜ ) in Ω as:
Ω 0jk
U n ˜ −0.6−0.3−0.3
U p ˜ 0.70.40.4
Then, U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-PII of Ω.
By taking = 0 in ( B F 7 ) and ( B F 8 ) , we find the following.
Corollary 1.
Every BF-BCI-PII is a BFI.
The converse of Corollary 1 is not true, as shown in the following example.
Example 2.
Consider a B C I -algebra Ω = 0 , j , k , l , m under the * operation defined by table:
*0jklm
000000
jj0j00
kkk000
llll00
mmlmj0
Define a BFS U ˜ = ( U n ˜ , U p ˜ ) in Ω as:
Ω 0jklm
U n ˜ −0.6−0.4−0.6−0.4−0.4
U p ˜ 0.60.30.60.30.3
Then, U ˜ = ( U n ˜ , U p ˜ ) is a BFI of Ω but is not a BF-BCI-PII of Ω as U n ˜ ( m l ) = U n ˜ ( j ) = 0.4 0.6 = U n ˜ ( ( ( m l ) l ) ( 0 l ) ) U n ˜ ( 0 ) = U n ˜ ( 0 ) .
Definition 4.
A BFS U ˜ = ( U n ˜ , U p ˜ ) in Ω is said to be a bipolar fuzzy closed BCI-positive implicative ideal (BFC-BCI-PII) of Ω if it satisfies ( B F 1 ) , ( B F 7 ) , ( B F 8 ) and ( B F 9 ) U n ˜ ( 0 ϑ ) U n ˜ ( ϑ ) and U p ˜ ( 0 ϑ ) U p ˜ ( ϑ ) , ϑ Ω .
Example 3.
Consider Example 1, where U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-PII of Ω and U n ˜ ( 0 ϑ ) = U n ˜ ( ϑ ) , U p ˜ ( 0 ϑ ) = U p ˜ ( ϑ ) , ϑ Ω . Thus U ˜ = ( U n ˜ , U p ˜ ) is a BFC-BCI-PII of Ω.
The following result gives the consequence of Corollary 1.
Corollary 2.
Every BFC-BCI-PII is a BFI.
The converse of Corollary 2 is not true. Example 2 validates it.
Lemma 1
([28]). A BFS U ˜ = ( U n ˜ , U p ˜ ) in Ω is a BFI of Ω⇔ for all ϑ , κ , Ω , ( ϑ κ ) = 0 implies U n ˜ ( ϑ ) U n ˜ ( κ ) U n ˜ ( ) and U p ˜ ( ϑ ) U p ˜ ( κ ) U p ˜ ( ) .
Lemma 2
([28]). A BFS U ˜ = ( U n ˜ , U p ˜ ) in Ω is a BFI of Ω⇔ for all ϑ , κ , Ω , ϑ κ = 0 implies U n ˜ ( ϑ ) U n ˜ ( κ ) and U p ˜ ( ϑ ) U p ˜ ( κ ) .
Theorem 1.
Let U ˜ = ( U n ˜ , U p ˜ ) be a BFI of Ω. The following assertions are equivalent:
(1)
U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-PII of Ω.
(2)
U n ˜ ( ϑ ) = U n ˜ ( ( ( ϑ ) ) ( 0 ) ) and U p ˜ ( ϑ ) = U p ˜ ( ( ( ϑ ) ) ( 0 ) ) , ϑ , Ω .
(3)
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( 0 ) ) and U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( 0 ) ) , ϑ , Ω .
Proof. 
( 1 2 ) Let U ˜ = ( U n ˜ , U p ˜ ) be a BF-BCI-PII of Ω . Then, for any ϑ , κ , Ω , we have
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( κ ) ) U n ˜ ( κ )
and
U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) U p ˜ ( κ ) .
Take κ = 0 , so
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( 0 ) ) U n ˜ ( 0 )
and
U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( 0 ) ) U p ˜ ( 0 ) .
That is,
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( 0 ) )
and
U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( 0 ) ) .
On the other hand, it follows from P 6 and P 1 that ( ( ϑ ) ) ( 0 ) ( ϑ ) . Therefore
U n ˜ ( ( ( ϑ ) ) ( 0 ) ) U n ˜ ( ϑ )
and
U p ˜ ( ( ( ϑ ) ) ( 0 ) ) U p ˜ ( ϑ )
From (1) and (3), (2) and (4), we have
U n ˜ ( ϑ ) = U n ˜ ( ( ( ϑ ) ) ( 0 ) )
and
U p ˜ ( ϑ ) = U p ˜ ( ( ( ϑ ) ) ( 0 ) ) ,
as required.
( 2 3 ) Suppose that U n ˜ ( ϑ ) = U n ˜ ( ( ( ϑ ) ) ( 0 ) ) and U p ˜ ( ϑ ) = U p ˜ ( ( ( ϑ ) ) ( 0 ) ) , ϑ , Ω . Then, we have
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( 0 ) )
and
U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( 0 ) ) .
( 3 1 ) Assume that
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( 0 ) )
and
U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( 0 ) )
for all ϑ , κ , Ω . From P 6 and K 1 , we obtain
( ( ( ϑ ) ) ( 0 ) ) ( ( ( ϑ ) ) ( κ ) ) r .
By using Lemma 1, we have
U n ˜ ( ( ( ϑ ) ) ( 0 ) ) U n ˜ ( ( ( ϑ ) ) ( κ ) ) U n ˜ ( κ )
and
U p ˜ ( ( ( ϑ ) ) ( 0 ) ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) U p ˜ ( κ ) .
From (5) and (7), (6) and (8), we have
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( κ ) ) U n ˜ ( κ )
and
U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) U p ˜ ( κ ) .
Hence, U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-PII of Ω . □
Theorem 2.
Let U ˜ = ( U n ˜ , U p ˜ ) be a BFI of Ω. Then, U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-PII of Ω if for all ϑ , κ Ω , U n ˜ ( ϑ ( ϑ ( κ ( κ ϑ ) ) ) ) U n ˜ ( ( ϑ ( ϑ κ ) ) ( κ ϑ ) ) and U p ˜ ( ϑ ( ϑ ( κ ( κ ϑ ) ) ) ) U p ˜ ( ( ϑ ( ϑ κ ) ) ( κ ϑ ) ) .
Proof. 
Assume that
U n ˜ ( ϑ ( ϑ ( κ ( κ ϑ ) ) ) ) U n ˜ ( ( ϑ ( ϑ κ ) ) ( κ ϑ ) )
and
U p ˜ ( ϑ ( ϑ ( κ ( κ ϑ ) ) ) ) U p ˜ ( ( ϑ ( ϑ κ ) ) ( κ ϑ ) ) ,
for all ϑ , κ Ω . Therefore
U n ˜ ( ( ϑ κ ) ( ( ϑ κ ) ( ϑ ( ϑ ( ϑ κ ) ) ) ) ) U n ˜ ( ( ( ϑ κ ) ( ( ϑ κ ) ϑ ) ) ( ϑ ( ϑ κ ) ) )
and
U p ˜ ( ( ϑ κ ) ( ( ϑ κ ) ( ϑ ( ϑ ( ϑ κ ) ) ) ) ) U p ˜ ( ( ( ϑ κ ) ( ( ϑ κ ) ϑ ) ) ( ϑ ( ϑ κ ) ) ) .
From P 7 , K 3 and P 1 , we have
( ϑ κ ) ( ( ϑ κ ) ( ϑ ( ϑ ( ϑ κ ) ) ) ) = ( ϑ κ ) ( ( ϑ κ ) ( ϑ κ ) ) = ϑ κ
and on the other hand, from P 2 , K 3 and P 7 , we have
( ( ϑ κ ) ( ( ϑ κ ) ϑ ) ) ( ϑ ( ϑ κ ) ) = ( ( ϑ κ ) ( ( ϑ ϑ ) κ ) ) ( ϑ ( ϑ κ ) ) = ( ( ϑ κ ) ( 0 κ ) ) ( ϑ ( ϑ κ ) ) = ( ( ϑ κ ) ( ϑ ( ϑ κ ) ) ) ( 0 κ ) = ( ( ϑ ( ϑ ( ϑ κ ) ) ) κ ) ( 0 κ ) = ( ( ϑ κ ) κ ) ( 0 κ ) .
Therefore
U n ˜ ( ( ϑ κ ) ( ( ϑ κ ) ( ϑ ( ϑ ( ϑ κ ) ) ) ) ) = U n ˜ ( ϑ κ )
and
U p ˜ ( ( ϑ κ ) ( ( ϑ κ ) ( ϑ ( ϑ ( ϑ κ ) ) ) ) ) = U p ˜ ( ϑ κ ) .
In addition,
U n ˜ ( ( ( ϑ κ ) ( ( ϑ κ ) ϑ ) ) ( ϑ ( ϑ κ ) ) ) = U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) )
and
U p ˜ ( ( ( ϑ κ ) ( ( ϑ κ ) ϑ ) ) ( ϑ ( ϑ κ ) ) ) = U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) .
Substitute (11), (13) in (9) and (12), (16) in (10),
U n ˜ ( ϑ κ ) U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) )
and
U p ˜ ( ϑ κ ) U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) .
Thus, from Theorem 1, U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-PII of Ω . □
Similarly, we can prove the following.
Corollary 3.
Let U ˜ = ( U n ˜ , U p ˜ ) be a BFI of Ω. Then U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-PII of Ω if for all ϑ , κ Ω , U n ˜ ( ϑ ( ϑ ( κ ( κ ϑ ) ) ) ) = U n ˜ ( ( ϑ ( ϑ κ ) ) ( κ ϑ ) ) and U p ˜ ( ϑ ( ϑ ( κ ( κ ϑ ) ) ) ) = U p ˜ ( ( ϑ ( ϑ κ ) ) ( κ ϑ ) ) .
Theorem 3.
Let U ˜ = ( U n ˜ , U p ˜ ) be a BFI of Ω. The following statements are equivalent:
(1)
U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-PII of Ω.
(2)
U n ˜ ( ( ϑ ) κ ) U n ˜ ( ( ( ϑ ) ) ( κ ) ) and U p ˜ ( ( ϑ ) κ ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) , ϑ , κ , Ω .
Proof. 
( 1 2 ) Let U ˜ = ( U n ˜ , U p ˜ ) be a BF-BCI-PII of Ω . Then, from Theorem 1, for any ϑ , Ω , we have
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( 0 ) )
and
U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( 0 ) ) .
From P 2 , K 1 , P 6 , P 1 and K 3 , we have
( ( ( ( ϑ κ ) ) ) ( 0 ) ) ( ( ( ϑ ) ) ( κ ) ) = ( ( ( ( ϑ ) κ ) ) ( 0 ) ) ( ( ( ϑ ) ) ( κ ) ) = ( ( ( ( ϑ ) ) κ ) ( 0 ) ) ( ( ( ϑ ) ) ( κ ) ) = ( ( ( ( ϑ ) ) ( 0 ) ) κ ) ( ( ( ϑ ) ) ( κ ) ) = ( ( ( ( ϑ ) ) ( 0 ) ) ( ( ( ϑ ) ) ( κ ) ) ) κ ( ( κ ) ( 0 ) ) κ ( κ 0 ) κ = κ κ = 0 .
By using Lemma 1, we obtain
U n ˜ ( ( ( ( ϑ κ ) ) ) ( 0 ) ) U n ˜ ( ( ( ϑ ) ) ( κ ) ) U n ˜ ( 0 )
and
U p ˜ ( ( ( ( ϑ κ ) ) ) ( 0 ) ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) U p ˜ ( 0 ) .
That is,
U n ˜ ( ( ( ( ϑ κ ) ) ) ( 0 ) ) U n ˜ ( ( ( ϑ ) ) ( κ ) )
and
U p ˜ ( ( ( ( ϑ κ ) ) ) ( 0 ) ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) .
By using (15) and (17), (16) and (18), we obtain
U n ˜ ( ( ϑ κ ) ) U n ˜ ( ( ( ϑ ) ) ( κ ) )
and
U p ˜ ( ( ϑ κ ) ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) .
Hence, by P 2 , we have
U n ˜ ( ( ϑ ) κ ) U n ˜ ( ( ( ϑ ) ) ( κ ) )
and
U p ˜ ( ( ϑ ) κ ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) .
( 2 1 ) Assume that
U n ˜ ( ( ϑ ) κ ) U n ˜ ( ( ( ϑ ) ) ( κ ) )
and
U p ˜ ( ( ϑ ) κ ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) .
Since U n ˜ ( ϑ ) U n ˜ ( ϑ κ ) U n ˜ ( κ ) and U p ˜ ( ϑ ) U p ˜ ( ϑ κ ) U p ˜ ( κ ) , so we have
U n ˜ ( ϑ ) U n ˜ ( ( ϑ ) κ ) U n ˜ ( κ )
and
U p ˜ ( ϑ ) U p ˜ ( ( ϑ ) κ ) U p ˜ ( κ ) .
By the assumption, we have
U n ˜ ( ϑ ) U n ˜ ( ( ( ϑ ) ) ( κ ) ) U n ˜ ( κ )
and
U p ˜ ( ϑ ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) U p ˜ ( κ ) .
Hence U ˜ = ( U n ˜ , U p ˜ ) a BF-BCI-PII of Ω . □
Theorem 4.
Let U ˜ = ( U n ˜ , U p ˜ ) be a BFI of Ω. The following assertions are equivalent:
(1)
U ˜ = ( U n ˜ , U p ˜ ) in Ω is a BF-BCI-PII.
(2)
U n ˜ ( ( ϑ κ ) ) U n ˜ ( ( ( ϑ ) ) ( κ ) ) and U p ˜ ( ( ϑ κ ) ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) .
(3)
U n ˜ ( ( ϑ κ ) ) = U n ˜ ( ( ( ϑ ) ) ( κ ) ) and U p ˜ ( ( ϑ κ ) ) = U p ˜ ( ( ( ϑ ) ) ( κ ) ) .
(4)
U n ˜ ( ϑ κ ) = U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) and U p ˜ ( ϑ κ ) = U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) .
(5)
U n ˜ ( ϑ κ ) U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) and U p ˜ ( ϑ κ ) U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) .
Proof. 
( 1 2 ) Let U ˜ = ( U n ˜ , U p ˜ ) in Ω be a BF-BCI-PII. Then, by using Theorem 1, for any ϑ , κ , Ω , we have
U n ˜ ( ( ϑ κ ) ) U n ˜ ( ( ( ( ϑ κ ) ) ) ( 0 ) )
and
U p ˜ ( ( ϑ κ ) ) U p ˜ ( ( ( ( ϑ κ ) ) ) ( 0 ) ) .
Now, using P 2 and P 6 , we obtain
( ( ( ϑ κ ) ) ) ( 0 ) = ( ( ( ϑ ) ) κ ) ( ( κ ) κ ) ( ( ϑ ) ) ( κ ) .
Therefore, by Lemma 2, we have
U n ˜ ( ( ( ( ϑ κ ) ) ) ( 0 ) ) U n ˜ ( ( ( ϑ ) ) ( κ ) )
and
U p ˜ ( ( ( ( ϑ κ ) ) ) ( 0 ) ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) .
Thus,
U n ˜ ( ( ϑ κ ) ) U n ˜ ( ( ( ϑ ) ) ( κ ) )
and
U p ˜ ( ( ϑ κ ) ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) .
( 2 3 ) Assume that U n ˜ ( ( ϑ κ ) ) U n ˜ ( ( ( ϑ ) ) ( κ ) ) and U p ˜ ( ( ϑ κ ) ) U p ˜ ( ( ( ϑ ) ) ( κ ) ) for all ϑ , κ , Ω . Now ( ( ϑ ) ) ( κ ) ( ϑ ) κ = ( ϑ κ ) .
Therefore, by Lemma 2, we have
U n ˜ ( ( ( ϑ ) ) ( κ ) ) U n ˜ ( ( ϑ κ ) )
and
U p ˜ ( ( ( ϑ ) ) ( κ ) ) U p ˜ ( ( ϑ κ ) ) .
Thus
U n ˜ ( ( ϑ κ ) ) = U n ˜ ( ( ( ϑ ) ) ( κ ) )
and
U p ˜ ( ( ϑ κ ) ) = U p ˜ ( ( ( ϑ ) ) ( κ ) ) .
( 3 4 ) Assume that U n ˜ ( ( ϑ κ ) ) = U n ˜ ( ( ( ϑ ) ) ( κ ) ) and U p ˜ ( ( ϑ κ ) ) = U p ˜ ( ( ( ϑ ) ) ( κ ) ) for ϑ , κ , Ω . Take = κ and κ = 0 , so
U n ˜ ( ( ϑ 0 ) κ ) = U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) )
and
U p ˜ ( ( ϑ 0 ) κ ) = U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) .
Therefore
U n ˜ ( ϑ κ ) = U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) )
and
U p ˜ ( ϑ κ ) = U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) .
( 4 5 ) trivially holds.
( 5 1 ) Assume that U n ˜ ( ϑ κ ) U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) and U p ˜ ( ϑ κ ) U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) for any ϑ , κ Ω . As ( ( ( ϑ κ ) κ ) ( 0 κ ) ) ( ( ( ϑ κ ) κ ) ( κ ) ) ( κ ) ( 0 κ ) 0 = . So, by Lemma 1, we have
U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) U n ˜ ( ( ( ϑ κ ) κ ) ( κ ) ) U n ˜ ( )
and
U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) U p ˜ ( ( ( ϑ κ ) κ ) ( κ ) ) U p ˜ ( ) .
Thus, U n ˜ ( ϑ κ ) U n ˜ ( ( ( ϑ κ ) κ ) ( κ ) ) U n ˜ ( ) and U p ˜ ( ϑ κ ) U p ˜ ( ( ( ϑ κ ) κ ) ( κ ) ) U p ˜ ( ) . Hence, U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-PII of Ω . □
Theorem 5.
Let U ˜ = ( U n ˜ , U p ˜ ) be a BFI of Ω. If U n ˜ ( ϑ ( ϑ ( κ ( κ ϑ ) ) ) ) U n ˜ ( ( ϑ ( ϑ κ ) ) ( κ ϑ ) ) and U p ˜ ( ϑ ( ϑ ( κ ( κ ϑ ) ) ) ) U p ˜ ( ( ϑ ( ϑ κ ) ) ( κ ϑ ) ) for any ϑ , κ Ω , then U ˜ = ( U n ˜ , U p ˜ ) in Ω is a BF-BCI-PII of Ω.
Proof. 
Consider ( a ( a ϑ ) ) ( ϑ a ) . Substituting a by ϑ κ , then using K 1 and P 7 , we have
( a ( a ϑ ) ) ( ϑ a ) = ( ( ϑ κ ) ( ( ϑ κ ) ϑ ) ) ( ϑ ( ϑ κ ) ) = ( ( ϑ κ ) ( 0 κ ) ) ( ϑ ( ϑ κ ) ) = ( ( ϑ κ ) ( ϑ ( ϑ κ ) ) ) ( 0 κ ) = ( ( ϑ ( ϑ ( ϑ κ ) ) ) κ ) ( 0 κ ) = ( ( ϑ κ ) κ ) ( 0 κ ) .
Therefore,
U n ˜ ( ( a ( a ϑ ) ) ( ϑ a ) ) = U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) )
and
U p ˜ ( ( a ( a ϑ ) ) ( ϑ a ) ) = U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) .
Similarly, from P 7 and P 1 , we have
a ( a ( ϑ ( ϑ a ) ) ) = ( ϑ κ ) ( ( ϑ κ ) ( ϑ ( ϑ ( ϑ κ ) ) ) ) = ( ϑ κ ) ( ( ϑ κ ) ( ϑ κ ) ) = ( ϑ κ ) 0 = ϑ κ .
Therefore U n ˜ ( a ( a ( ϑ ( ϑ a ) ) ) ) = U n ˜ ( ϑ κ ) and U p ˜ ( a ( a ( ϑ ( ϑ a ) ) ) ) = U p ˜ ( ϑ κ ) . By given hypothesis, we have
U n ˜ ( a ( a ( ϑ ( ϑ a ) ) ) ) U n ˜ ( ( a ( a ϑ ) ) ( ϑ a ) )
and
U p ˜ ( a ( a ( ϑ ( ϑ a ) ) ) ) U p ˜ ( ( a ( a ϑ ) ) ( ϑ a ) ) .
Thus, U n ˜ ( ϑ κ ) U n ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) and U p ˜ ( ϑ κ ) U p ˜ ( ( ( ϑ κ ) κ ) ( 0 κ ) ) . Hence, by Theorem 1, U ˜ is a BF- B C I -PICI of Ω . □

4. Bipolar Fuzzy BCI-Commutative Ideal

In this section, the concept of bipolar fuzzy BCI-commutative ideals is introduced, and several properties are investigated.
Definition 5.
A BFS U ˜ = ( U n ˜ , U p ˜ ) in Ω is said to be a bipolar fuzzy BCI-commutative ideal (BF-BCI-CI) of Ω if it satisfies ( B F 1 ) and
(BF9)
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( ( ϑ κ ) ) U n ˜ ( ) ,
(BF10)
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( ( ϑ κ ) ) U p ˜ ( ) , for all ϑ , κ , Ω .
Example 4.
Consider a B C I -algebra ( Ω ; * , 0 ) where Ω = { 0 , j , k , l } and * given by the Cayley table: Let U ˜ = ( U n ˜ , U p ˜ ) be a BFS in Ω represented by:
*0jkl
00000
jj00j
kkj0k
llll0
Ω 0jkl
U n ˜ −0.4−0.4−0.2−0.3
U p ˜ 0.90.90.60.8
Then, by routine calculations, U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-CI of Ω.
Definition 6.
A BFS U ˜ = ( U n ˜ , U p ˜ ) in Ω is called a bipolar fuzzy closed BCI-commutative ideal (BFC-BCI-CI) of Ω if it satisfies ( B F 1 ) , ( B F 9 ) , ( B F 10 ) and ( B F 11 ) U n ˜ ( 0 ϑ ) U n ˜ ( ϑ ) and U p ˜ ( 0 ϑ ) U p ˜ ( ϑ ) , for all ϑ Ω .
Example 5.
Consider Example 4, where U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-CI of Ω. Also U n ˜ ( 0 ϑ ) = U n ˜ ( 0 ) U n ˜ ( ϑ ) and U p ˜ ( 0 ϑ ) = U n ˜ ( 0 ) U p ˜ ( ϑ ) for all ϑ { 0 , j , k , l } . Thus, U ˜ = ( U n ˜ , U p ˜ ) is a BFC-BCI-CI of Ω.
Theorem 6.
Let U ˜ = ( U n ˜ , U p ˜ ) be a BFI of Ω. The following statements are equivalent:
(1)
U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-CI of Ω.
(2)
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( ϑ κ ) and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( ϑ κ ) , ϑ , κ Ω .
(3)
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) = U n ˜ ( ϑ κ ) and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) = U p ˜ ( ϑ κ ) , ϑ , κ Ω .
Proof. 
( 1 2 ) Let U ˜ = ( U n ˜ , U p ˜ ) be a BF-BCI-CI of Ω . Then, for any ϑ , κ , Ω , we have
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( ( ϑ κ ) ) U n ˜ ( )
and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( ( ϑ κ ) ) U p ˜ ( ) .
Substitute 0 for , so we obtain
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( ( ϑ κ ) 0 ) U n ˜ ( 0 )
and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( ( ϑ κ ) 0 ) U p ˜ ( 0 ) .
Therefore,
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( ϑ κ )
and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( ϑ κ ) .
( 2 3 ) Assume that for ϑ , κ Ω ,
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( ϑ κ )
and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( ϑ κ ) .
As ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) = ( κ ( κ ϑ ) ) ( 0 ( κ ϑ ) ) κ , using P 5 and P 6 , So, by P 3 , we have ϑ κ ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) . By Lemma 2, we have
U n ˜ ( ϑ κ ) U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) )
and
U p ˜ ( ϑ κ ) U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) .
From (19) and (21), (20) and (22), we obtain
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) = U n ˜ ( ϑ κ )
and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) = U p ˜ ( ϑ κ ) .
( 3 1 ) Assume that for all ϑ , κ Ω ,
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) = U n ˜ ( ϑ κ )
and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) = U p ˜ ( ϑ κ ) .
Since ( ϑ κ ) ( ( ϑ κ ) ) t , using K 1 . Therefore, by Lemma 1, we have
U n ˜ ( ϑ κ ) U n ˜ ( ( ϑ κ ) ) U n ˜ ( )
and
U p ˜ ( ϑ κ ) U p ˜ ( ( ϑ κ ) ) U p ˜ ( ) .
Substitute (23) in (25) and (24) in (26), so
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( ( ϑ κ ) ) U n ˜ ( )
and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( ( ϑ κ ) ) U p ˜ ( ) .
Hence, U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-CI of Ω . □
Theorem 7.
Let U ˜ = ( U n ˜ , U p ˜ ) be a bipolar fuzzy closed ideal of Ω. Then, U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-CI of Ω
(1)
U n ˜ ( ϑ ( κ ( κ ϑ ) ) ) U n ˜ ( ϑ κ ) ,
(2)
U p ˜ ( ϑ ( κ ( κ ϑ ) ) ) U p ˜ ( ϑ κ ) ,
for all ϑ , κ Ω .
Proof. 
Let U ˜ = ( U n ˜ , U p ˜ ) be a BF-BCI-CI of Ω . Since U ˜ = ( U n ˜ , U p ˜ ) is a BFCI of Ω , so for any ϑ , κ Ω , U n ˜ ( 0 ( ϑ κ ) ) U n ˜ ( ϑ κ ) and U p ˜ ( 0 ( ϑ κ ) ) U p ˜ ( ϑ κ ) . From K 1 and P 5 , we obtain
( ϑ ( κ ( κ ϑ ) ) ) ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) 0 ( ϑ κ ) .
So, by Lemma 1, we have
U n ˜ ( ϑ ( κ ( κ ϑ ) ) ) U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( 0 ( ϑ κ ) )
and
U p ˜ ( ϑ ( κ ( κ ϑ ) ) ) U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( 0 ( ϑ κ ) ) .
By Theorem 6, we have
U n ˜ ( ϑ ( κ ( κ ϑ ) ) ) U n ˜ ( ϑ κ ) U n ˜ ( 0 ( ϑ κ ) ) = U n ˜ ( ϑ κ )
and
U p ˜ ( ϑ ( κ ( κ ϑ ) ) ) U p ˜ ( ϑ κ ) U p ˜ ( 0 ( ϑ κ ) ) = U p ˜ ( ϑ κ ) .
(⇐) Let U ˜ = ( U n ˜ , U p ˜ ) be a BFCI of Ω satisfying the conditions U n ˜ ( ϑ ( κ ( κ ϑ ) ) ) U n ˜ ( ϑ κ ) and U p ˜ ( ϑ ( κ ( κ ϑ ) ) ) U p ˜ ( ϑ κ ) , for all ϑ , κ Ω . From K 1 , P 5 and P 6 , we have ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) ( ϑ ( κ ( κ ϑ ) ) ) 0 ( 0 ( ϑ κ ) ) . By Lemma 1, we have
U n ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U n ˜ ( ϑ ( κ ( κ ϑ ) ) ) U n ˜ ( 0 ( 0 ( ϑ κ ) ) ) U n ˜ ( ϑ κ ) U n ˜ ( 0 ( 0 ( ϑ κ ) ) ) ) = U n ˜ ( ϑ κ )
and
U p ˜ ( ϑ ( ( κ ( κ ϑ ) ) ( 0 ( 0 ( ϑ κ ) ) ) ) ) U p ˜ ( ϑ ( κ ( κ ϑ ) ) ) U p ˜ ( 0 ( 0 ( ϑ κ ) ) ) U p ˜ ( ϑ κ ) U p ˜ ( 0 ( 0 ( ϑ κ ) ) ) ) = U p ˜ ( ϑ κ ) .
Hence, by Theorem 6, U ˜ = ( U n ˜ , U p ˜ ) is a BF-BCI-CI of Ω . □

5. Conclusions

The “world of science” and its “related fields” have accomplished such complicated processes for which consistent and complete information is not always conceivable. For the last few decades, a number of theories and postulates have been introduced by many researchers to handle indeterminate constituents in science and technologies. These theories include “the theory of probability”, “interval mathematics”, “fuzzy set theory”, “neutrosophic set theory”, “intuitionistic fuzzy set theory”, “bipolar fuzzy set theory”, etc. In the present paper, we applied the bipolar fuzzy set theory to an algebraic structure called BCI-algebra where the concepts of bipolar fuzzy (closed) BCI-positive implicative ideals and bipolar fuzzy (closed) BCI-commutative ideals of BCI-algebras are introduced. Moreover, the relationship between bipolar fuzzy (closed) BCI-positive implicative ideals and bipolar fuzzy ideals is investigated, and various conditions are provided for a bipolar fuzzy ideal to be a bipolar fuzzy BCI-positive implicative ideal. Furthermore, conditions are presented for a bipolar fuzzy (closed) ideal to be a bipolar fuzzy BCI-commutative ideal. Finally, the relationships among bipolar fuzzy BCI-implicative ideals, bipolar fuzzy BCI-positive implicative ideals and bipolar fuzzy BCI-commutative ideals are investigated. In future work, one may extend these concepts to various algebras BL-algebras, MTL-algebras, R0-algebras, MV-algebras, EQ-algebras, lattice implication algebras, etc.

Author Contributions

All authors contributed equally to the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number (PNURSP2022R87), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors extend their appreciations to Princess Nourah bint Abdulrahman University Researchers Supporting Project Number (PNURSP2022R87), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Conflicts of Interest

The authors declare no conflict of interest.

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Abughazalah, N.; Muhiuddin, G.; Elnair, M.E.A.; Mahboob, A. Bipolar Fuzzy Set Theory Applied to the Certain Ideals in BCI-Algebras. Symmetry 2022, 14, 815. https://doi.org/10.3390/sym14040815

AMA Style

Abughazalah N, Muhiuddin G, Elnair MEA, Mahboob A. Bipolar Fuzzy Set Theory Applied to the Certain Ideals in BCI-Algebras. Symmetry. 2022; 14(4):815. https://doi.org/10.3390/sym14040815

Chicago/Turabian Style

Abughazalah, N., G. Muhiuddin, Mohamed E. A. Elnair, and A. Mahboob. 2022. "Bipolar Fuzzy Set Theory Applied to the Certain Ideals in BCI-Algebras" Symmetry 14, no. 4: 815. https://doi.org/10.3390/sym14040815

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