Abstract
The notion of anti-intuitionistic fuzzy soft a-ideals of -algebras is introduced and several related properties are investigated. Furthermore, the operations, namely; AND, extended intersection, restricted intersection, and union on anti-intuitionistic fuzzy soft a-ideals are discussed. Finally, characterizations of anti-intuitionistic fuzzy soft a-ideals of -algebras are given.
Keywords:
BCI-algebras; soft set; fuzzy soft set; intuitionistic fuzzy soft set; anti-intuitionistic fuzzy soft ideals; anti-intuitionistic fuzzy soft a-ideals MSC:
06F35; 03G25; 06D72
1. Introduction
The theory of fuzzy set, intuitionistic fuzzy sets, soft set, and more other theories were introduced to deal with uncertainty. In [1], Zadeh introduced the concept of a fuzzy subset of a set. Later on, a number of generalizations of this fundamental notion have been studied by many authors in different directions. The notion of an intuitionistic fuzzy set defined in [2] is a generalization of a fuzzy set. It gives more opportunity to be accurate when dealing with uncertain objects. Soft set theory was initially suggested by Molodstov in [3], then Maji et al. in [4] combined the soft set theory and the intuitionistic fuzzy set theory, and introduced the notion intuitionistic fuzzy soft sets.
Algebra is the language in which combinatorics are usually expressed. Combinatorics is the study of discrete structures that arise not only in areas of pure mathematics, but in other areas of science, for example, computer science, statistical physics and genetics. From ancient beginnings, this subject truly rose to prominence from the mid-20th century, when scientific discoveries (most notably of DNA) showed that combinatorics is key to understanding the world around us, whilst many of the great advances in computing were built on combinatorial foundations. These concepts were widely studied over different classes of logical algebras as the essential classes of /-algebras presented by Iseki [5]. The concepts intuitionistic fuzzy ideals of -algebras were studied in [6]. Bej et al. [7] declared the concept of doubt intuitionistic fuzzy subalgebra and doubt intuitionistic fuzzy ideal in /-algebras. Muhiuddin et al. studied various concepts on fuzzy sets and applied them to /-algebras, and other related notions (see for e.g., [8,9,10,11,12,13,14,15,16,17,18]). Also, some new generalizations of fuzzy sets and other related concepts in different algebras have been studied in (see for e.g., [6,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35]). Additionally, Balamurugan et al. [36] introduced the concepts of intuitionistic fuzzy soft subalgebras, intuitionistic fuzzy soft ideals, and intuitionistic fuzzy soft a-ideals of B-algebra and studied several properties of these notions.
In the present paper, we introduce the notion of anti-intuitionistic fuzzy soft a-ideals in -algebras. The results of present paper are organized, as follows: Section 2 summarizes some basic definitions and properties that are needed to develop our main results while in Section 3, we introduce the notion of anti-intuitionistic fuzzy soft a-ideals of -algebras and investigate related properties. In Section 4, we give characterizations of anti-intuitionistic fuzzy soft a-ideals of -algebras while using the concept of a soft level set.
2. Preliminaries
In this section, we recall basic definitions and results that are related to the subject of the paper.
Definition 1.
[5] An algebra of type is called a -algebra if it satisfies the following conditions:
- (1)
- ,
- (2)
- ,
- (3)
- ;
- (4)
- and ⇒, for all .
Any -algebra , satisfies the following axioms:
- (I)
- (II)
- and ,
- (III)
- ,
- (IV)
- (V)
where ⇔, for any .
A non-empty subset of a -algebra is called an ideal of if it satisfies
- (1)
- ,
- (1)
- .
A non-empty subset of a -algebra is called an a-ideal of if it satisfies and .
For an initial set and a set of parameters , a pair is said to be a soft set over ⇔∃: , where is a family of subsets of . (see [30] for more details on soft set theory).
Definition 2.
[4] Let Π be a collection of parameters and let indicate the collection of all fuzzy sets in Ω. Then is called a fuzzy soft set over Ω, where and .
Definition 3.
[36] Let be a fuzzy soft set (abbr. ). Then is an anti-fuzzy soft ideal (abbr. of Ω if and is an of Ω satisfies the following assertions:
- (i)
- ,
- (ii)
- ,
for all and
Definition 4.
[36] Let be a fuzzy soft set (abbr. ). Then is an anti-fuzzy soft a-ideal (abbr. of Ω if and is an of Ω satisfies the following assertions:
- (i)
- ,
- (ii)
- ,
for all and
Definition 5.
[4] Let Π be a collection of parameters and let indicate the collection of all intuitionistic fuzzy sets in Ω. Subsequently, is called an intuitionistic fuzzy soft set over Ω, where and .
3. Anti-Intuitionistic Fuzzy Soft a-Ideal
In what follows, we write to denote a -algebra and for intuitionistic fuzzy sets and we will introduce an abbreviation for the notions in the following definitions to be used in the rest of the paper.
Definition 6.
Let be an intuitionistic fuzzy soft set (abbr. ). Afterwards, is an anti-intuitionistic fuzzy soft ideal (abbr. of Ω if and is an of Ω satisfies the following assertions:
- (i)
- and ,
- (ii)
- ,
- (iii)
- ,
for all and
Definition 7.
An is called an anti-intuitionistic fuzzy soft a-ideal (abbr. ) of Ω if and is an of Ω satisfies the following assertions:
- (i)
- and ,
- (ii)
- ,
- (iii)
- ,
for all and
Example 1.
Suppose that there are four patients in the initial universe set given by
| ⊙ | ||||
Afterwards, is a -algebra.
Let a set of parameters, we consider be a status of patients, in which
- f stands for the parameter "fever" can be treated by antibiotic,s stands for the parameter "sneezing" can be treated by antiallergic,n stands for the parameter "nosal block" can be treated by nosal drops.
Subsequently, , and are over Ω represented by:
Therefore, , and are an of Ω with respect to , and n, respectively.
| f | [0.1, 0.8] | [0.1, 0.8] | [0.2, 0.6] | [0.2, 0.6] |
| s | [0.0, 0.9] | [0.0, 0.9] | [0.3, 0.7] | [0.3, 0.7] |
| n | [0.2, 0.7] | [0.2, 0.7] | [0.4, 0.6] | [0.4, 0.6] |
Hence, is an of Ω.
Proposition 1.
For any of Ω, the following inequalities hold: and , for any and .
Proof.
Let be an of .
Subsequently, and is an of .
Thus, for every and ,
and
.
By substituting , we get,
and
. □
Theorem 1.
Over Ω, any is an .
Proof.
Let be an of .
Subsequently, and is an of .
Thus, for every and ,
and
.
By substituting we obtain,
and
.
Because we know that , therefore
and
.
Thus,
and
,
i.e., and is an of .
Hence is an of .□
The converse of Theorem 1 is not true in general i.e., an might not be an , as shown in the next example and we will give in the latter theorem a condition for this converse to be true.
Example 2.
Let with Cayley table:
| ⊙ | 0 | p | q | r | s |
| 0 | 0 | 0 | s | r | q |
| p | p | 0 | s | r | q |
| q | q | q | 0 | s | r |
| r | r | r | q | 0 | s |
| s | s | s | r | q | 0 |
Subsequently, is a -algebra.
Let be a set of parameters and consider the over Ω. Then , and are over Ω represented by:
| 0 | p | q | r | s | |
| [0.1, 0.9] | [0.4, 0.4] | [0.3, 0.6] | [0.2, 0.8] | [0.5, 0.1] | |
| [0, 0.9] | [0.1, 0.7] | [0.4, 0.4] | [0.3, 0.5] | [0.2, 0.6] | |
| [0, 1] | [0.2, 0.6] | [0.3, 0.5] | [0.4, 0.3] | [0.1, 0.7] |
Afterwards, is an of Ω, but since
and
,
i.e., and is not an of Ω.
Therefore is not an of Ω with respect to ϑ.
Hence is not an of Ω.
Theorem 2.
Let be an over Ω. If for any and , and , then is an over Ω.
Proof.
Let be an over .
Therefore, and is an of .
Thus, for any and ,
and
and is an of .
Hence is an over .
Theorem 3.
If is an of Ω, then for any parameter and , and .
Proof.
Let be an of .
Because .
Therefore, .
By Theorem 1, is an of .
Thus, and is an of .
Thus, for every and ,
and
□
Definition 8.
Let and be two over Ω. Then “AND” written as is of Ω, where for all .
Theorem 4.
If and are two of Ω, then is also an of Ω.
Proof.
By definition, , where
For any and ,
and
.
For any , and ,
and
=
= .
Thus, is an of for any .
Hence is an of for any .□
Definition 9.
The "extended intersection" of two and denoted by is , where and for every ,
Theorem 5.
If and are of Ω, then is an of Ω.
Proof.
We know that , where and for every ,
For any , if , then is an of .
Likewise, if , , which is an of .
Moreover if , such that , then is also an of .
Therefore, is an of .
Hence, is an of .
We deduce the following Corollary.
Corollary 1.
The “restricted intersection” of two is an .
Definition 10.
Let and be two over Ω. Subsequently, the "union" denoted by is , where and for every ,
The union of two is not necessarily an , as shown in the next example.
Example 3.
Let with Cayley table given by:
| ⊙ | 0 | p | q | r | s |
| 0 | 0 | 0 | q | r | s |
| p | p | 0 | q | r | s |
| q | q | q | 0 | s | r |
| r | r | r | s | 0 | q |
| s | s | s | r | q | 0 |
Subsequently, is a -algebra.
Let and be two collections of parameters and consider the over Ω. Afterwards, and are over Ω given by:
| 0 | p | q | r | s | |
| [0, 0.9] | [0, 0.9] | [0.3, 0.4] | [0.1, 0.4] | [0.3, 0.4] | |
| [0.2, 0.6] | [0.2, 0.6] | [0.4, 0.3] | [0.4, 0.3] | [0.3, 0.5] | |
| [0.1, 0.8] | [0.1, 0.8] | [0.5, 0.2] | [0.3, 0.5] | [0.5, 0.2] | |
| [0.2, 0.7] | [0.2, 0.7] | [0.3, 0.5] | [0.5, 0.3] | [0.5, 0.3] |
Then is an of Ω with respect to , and δ.
Thus is an of Ω.
Now let be an over Ω. Then and are over Ω given by:
| 0 | p | q | r | s | |
| [0, 0.7] | [0, 0.7] | [0.3, 0.5] | [0.5, 0.2] | [0.5, 0.2] | |
| [0.2, 0.6] | [0.2, 0.6] | [0.5, 0.2] | [0.5, 0.2] | [0.3, 0.4] | |
| [0, 0.9] | [0, 0.9] | [0.3, 0.4] | [0.1, 0.6] | [0.3, 0.4] |
Subsequently, is an of Ω with respect to κ, δ, and η.
Thus, is an of Ω.
Note that is not an of Ω based on If , then the union is an of Ω proved in the next theorem.
Theorem 6.
Let and be two of Ω. If , then is an of Ω.
Proof.
We know that , where and for every ,
Because , then either or for all .
If , then , which is an of .
Thus, is an of .
Similarly , then is an of .
Thus, is an of .
Hence, is an of .
Definition 11.
Let be an anti-soft -algebra (abbr. ) over Ω. An over Ω is an of , written as , if and for any ,
.
Definition 12.
Let be an over Ω. An over Ω is an of , denoted by , if and for any ,
.
Example 4.
Let with Cayley table:
| ⊙ | 0 | p | q | r | s |
| 0 | 0 | 0 | q | r | s |
| p | p | 0 | q | r | s |
| q | q | q | 0 | s | r |
| r | r | r | s | 0 | q |
| s | s | s | r | q | 0 |
Subsequently, is a -algebra.
Let be a set of parameters and let be a soft set over Ω and so let , , that are all sub-algebras of Ω.
Hence, is an over Ω.
Let be an over Ω, where . Afterwards, and are in Ω defined by:
| 0 | p | q | r | s | |
| [0.2, 0.7] | [0.2, 0.7] | [0.2, 0.7] | [0.4, 0.1] | [0.4, 0.1] | |
| [0.3, 0.7] | [0.3, 0.7] | [0.3, 0.7] | [0.5, 0.4] | [0.5, 0.4] |
Afterwards, and are of Ω related to and , respectively.
Hence, .
Any of an is an of , but the converse is not true, as proved by the next example.
Example 5.
Let with Cayley table.
| ⊙ | 0 | p | q | r | s |
| 0 | 0 | 0 | 0 | 0 | 0 |
| p | p | 0 | 0 | 0 | 0 |
| q | q | q | 0 | q | 0 |
| r | r | r | r | 0 | 0 |
| s | s | s | r | q | 0 |
Subsequently, is a “-algebra” and, thus, a “-algebra”.
Let be a set of parameters.
Let be a soft set over Ω and so we let , and , that are all subalgebras of Ω.
Hence, is a over Ω.
Suppose that is an over Ω, where . Afterwards, and are an in Ω represented by:
| 0 | p | q | r | s | |
| [0, 0.7] | [0.1, 0.6] | [0.2, 0.5] | [0.3, 0.3] | [0.3, 0.3] | |
| [0.1, 0.8] | [0.2, 0.7] | [0.3, 0.6] | [0.4, 0.4] | [0.4, 0.4] | |
| [0.1, 0.5] | [0.2, 0.4] | [0.3, 0.3] | [0.4, 0.1] | [0.4, 0.1] |
Subsequently, is an of , but since
and
.
i.e., is not an of Ω related to .
Therefore is not an of .
Theorem 7.
Let be an over Ω. If and are of , then the “extended intersection" of and is an of .
Proof.
We know that , where and for every ,
For any , if , then , since .
Likewise, if , then , since .
Moreover if , such that , then .
Therefore, for any .
Hence, .□
Next corollary follows directly.
Corollary 2.
Let and be two of an . If , then the “union” is an of .
4. Characterization of Anti-Intuitionistic Fuzzy Soft a-Ideals
In this section, we give characterizations of an over while using the idea of a soft -level set, , for any and .
Theorem 8.
An over Ω is an over the non-empty soft -level set, is an a-ideal of Ω, for any and .
Proof.
Let be an over .
Afterwards, is an of , for any .
Let , for any and .
Subsequently, for any ,
and ,
i.e., 0 .
Now, let and , for any .
Subsequently,
and
.
Thus, for any ,
.
.
i.e., .
Hence, is an a-ideal of , for any and .
Conversely assume that is an a-ideal of , for any and .
If for some and , and , then and , for some .
This implies that and that , this contradicts the hypothesis that is an a-ideal of .
Thus and , for any and .
Moreover, if there are elements and , such that
and
.
Afterwards, for some ,
and
.
i.e., , again a contradiction.
Thus, for any and for any ,
and
i.e., is an of , for any .
Hence, is an over .□
From the above Theorem we get the following corollary.
Corollary 3.
An over Ω is an over the non-empty soft -level set, , is an a-ideal of Ω, for any and .
Theorem 9.
A non-empty soft -level set, , is an a-ideal of Ω, for any and the following conditions hold:
(i) and ,
(ii) ,
(iii) ,
for any and .
Proof.
Let the non-empty soft -level set, be an a-ideal of , for any and .
If for some and ,
and .
Then there are , such that
and .
This implies that and .
i.e., but , which gives a contradiction to the assumption that is an a-ideal of , for any and .
Thus, (i) is valid.
Moreover, if there are elements and , such that
and
.
Subsequently, for some ,
and
.
i.e.,
and
.
i.e.,
and
but , which—again—contradicts the assumption that is an a-ideal of , for any and .
Hence, (ii) and (iii) are valid.
Conversely, suppose that the conditions (i), (ii), and (iii) are valid.
Let , for any and .
Subsequently, for any ,
and
which implies and .
Thus, .
Now let and , for any .
Subsequently, ,
and
, .
Thus, from (ii), we get,
and
.
This implies, and .
Thus, .
Therefore, is an a-ideal of , for any and
5. Conclusions
The notion of anti-intuitionistic fuzzy soft a-ideal (abbr. ) is introduced and studied over a -algebra . We proved that any is an anti-intuitionistic fuzzy soft ideal (abbr. ) of and that the converse is not always true. We proved that the operations “AND”, “extended intersection”, and “restricted intersection” between any two of , is also an of whereas the “union” is not necessarily an . Moreover, characterizations of using the concept of a soft level set were given.
Author Contributions
Conceptualization, G.M.; Formal analysis, G.M. and D.A.-K.; Investigation, D.A.-K. and M.B.; Methodology, G.M. and D.A.-K.; Writing—original draft, G.M.; Writing—review and editing, D.A.-K. and M.B. All authors contributed equally to this work. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Acknowledgments
The authors are grateful to the anonymous referees for a careful checking of the details and for helpful comments that improved the overall presentation of this paper.
Conflicts of Interest
The authors declare that they have no conflict of interest.
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