Abstract
A fuzzy set is an extension of an existing set using fuzzy logic. Soft set theory is a generalization of fuzzy set theory. Fuzzy and soft set theory are good mathematical tools for dealing with uncertainty in a parametric manner. The aim of this article is to introduce the concept of makgeolli structures using fuzzy and soft set theory and to apply it to BCK/BCI-algebras. The notion of makgeolli algebra and makgeolli ideal in BCK/BCI-algebras is defined, and several properties are investigated. It deals with the relationship between makgeolli algebra and makgeolli ideal, and several examples are given. Characterization of makgeolli algebra and makgeolli ideal are discussed, and a new makgeolli algebra from old one is established. A condition for makgeolli algebra to be makgeolli ideal in BCK-soft universe is considered, and we give example to show that makgeolli ideal is not makgeolli algebra in BCI-soft universe. Conditions for makgeolli ideal to be makgeolli algebra in BCI-soft universe are provided.
1. Introduction
There are many things inherently uncertain, inaccurate, and ambiguous in the real world. Zadeh [1] pointed out: “Various problems in system identification involve characteristics which are essentially nonprobabilistic in nature,” and he introduced fuzzy set theory as an alternative to probability theory (see the work by the authors of [2]). Zadeh [3] outlined the uncertainty, which is an attribute of information, by trying to address it more generally. It is difficult to deal with uncertainties by traditional mathematical tools. However, one can use a wider range of existing theories, such as theory of (intuitionistic) fuzzy sets, theory of interval mathematics, theory of vague sets, probability theory, and theory of rough sets for dealing with uncertainties. However, Molodtsov [4] pointed out all of these theories have their own difficulties. According to Maji et al. [5] and Molodtsov [4], these difficulties can be attributed to the inadequacy of the parametric tools of theory. Molodtsov [4] tried to overcome these difficulties. He introduced the concept of soft set as a new mathematical tool for dealing with uncertainties, and pointed out several directions for its applications. Globally, interest in soft set theory and its application has been growing rapidly in recent years. Soft set theory has been applied to decision making problem (see works by the authors of [5,6,7,8,9,10,11,12]), groups, rings, fields and modules (see works by the authors of [13,14,15,16,17]), BCK/BCI-algebras, etc. (see works by the authors of [18,19,20,21,22,23,24,25,26,27]).
In this paper, we introduce the notion of makgeolli structures using fuzzy and soft set theory and apply it to BCK/BCI-algebras. We define the concept of makgeolli algebra and makgeolli ideal in BCK/BCI-algebras, and investigate several properties. We deal with the relation between makgeolli algebra and makgeolli ideal, and consider several examples. We discuss characterization of makgeolli algebra and makgeolli ideal. We make a new makgeolli algebra from old one. We provide a condition for makgeolli algebra to be makgeolli ideal in BCK-soft universe. We give example to show that makgeolli ideal is not makgeolli algebra in BCI-soft universe, and provide conditions for makgeolli ideal to be makgeolli algebra in BCI-soft universe.
2. Preliminaries
In 1978 and 1980, K. Iséki [28,29] introduced a BCK/BCI-algebra, which is an important class of logical algebras.
By a BCI-algebra, we mean a set X with a a binary operation ∗ and special element 0 which satisfies the following conditions.
- (I)
- (II)
- (III)
- (IV)
If a BCI-algebra X satisfies the following identity,
- (V)
then X is called a BCK-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
We refer the reader to the books by the authors of [30,31] for further information regarding BCK/BCI-algebras.
Let U be a universal set and E a set of parameters, respectively. A pair is called a soft set over a universe U (see [4]) where is a mapping given by
In other words, a soft set over U is a parameterized family of subsets of the universe For may be considered as the set of -approximate elements of the soft set Clearly, a soft set is not a set. For illustration, Molodtsov considered several examples in the work by the authors of [4].
Given a nonempty subset A of E, denote by a soft set over U satisfying the following condition.
3. Makgeolli Structures
In what follows, let E be a set of parameters and U a universal set unless otherwise specified. We say that the pair is a soft universe.
Definition 1.
Let A and B be subsets of E. A makgeolli structure on U (related to A and B) is a structure of the form
where and are soft sets over U and ℓ is a fuzzy set in U.
For the sake of simplicity, the makgeolli structure in (7) will be denoted by . The makgeolli structure on U related to a subset A of E is simply denoted by .
Example 1.
Miss K (say) and Mr. J (say) are going to buy a house to live in after marriage. They are looking for the most reasonable house, considering its price, environment, and distance from the neighborhood (for example, hospital). There are six houses . They are considering two parameter sets and where each parameter and , , stands for
and consider the distance from the neighborhood given by
Here, for example, means that the distance from house to the neighborhood is 4 km. Suppose that and Then the makgeolli structure on U is given by Table 1.
Table 1.
Tabular representation of the makgeolli structure .
The Gothic component in Table 1 means that the house is intermediate price, beautiful, and it is 2 km away from the neighborhood (for example, hospital).
Definition 2.
Let be a soft universe and let and be makgeolli structures on U. The intersection of and is defined to be a makgeolli structure on U in which
4. Applications in BCK/BCI-Algebras
A BCK/BCI-soft universe is defined as a soft universe in which U and E are BCK/BCI-algebras with binary operations “∗” and “”, respectively.
Definition 3.
Let be a BCK/BCI-soft universe and let A and B be subsets of E. A makgeolli structure on U is called a makgeolli algebra over U if it satisfies:
where means .
Example 2.
Assume that there are five houses in the universal set U, which is given by
Then is a BCK-algebra in which the operation ∗ is given by Table 2.
Table 2.
Cayley table for the binary operation “∗”.
Let be a set of parameters in which each element , , stands for
If we give a binary operation to E by Table 3,
Table 3.
Cayley table for the binary operation “”.
Then is a BCK-algebra. If we take two sets, and of E, then A and B are subalgebras of E. Let be a makgeolli structure on U given as follows:
It is routine to check that is a makgeolli algebra over U.
Proposition 1.
Let be a BCK/BCI-soft universe. For any subalgebras A and B of E, every makgeolli algebra over U satisfies the following conditions.
Proof.
If we take and in (8), then and . Hence
Since for all , we have for all . □
Theorem 1.
Let be a BCK/BCI-soft universe and let A and B be subsets of E. Then a makgeolli structure on U is an makgeolli algebra over U if and only if the following assertions are valid.
Proof.
Assume that
for all and . Since and for all , it follows from (11) that . Thus .
Conversely, let and be such that and . Then and . Hence , and so . This completes the proof. □
Proposition 2.
Let be a BCK/BCI-soft universe. For any makgeolli algebra over U related to subalgebras A and B of E, the following are equivalent.
- (1)
- (2)
Proof.
Suppose that (1) is true. Using (10), we have
Assume that (2) is valid. Since for all , we have for all and for all . Since for all , we have for all . It follows from (9) that we have (1). □
Proposition 3.
Let be a BCI-soft universe. Then every makgeolli algebra over U related to subalgebras A and B of E satisfies the following conditions.
Proof.
Using Proposition 1, we have
for all , and . □
Theorem 2.
Let be a BCK/BCI-soft universe and let and be makgeolli algebras over U related to subalgebras A and B of E. Then the intersection of and is a makgeolli algebra over U.
Proof.
For any , and , we have
Therefore is a makgeolli algebra over U. □
Let be a BCK/BCI-soft universe. Gin a makgeolli structure on U related to A and B, consider the following sets.
where and are subsets of U and .
Theorem 3.
Let be a BCK/BCI-soft universe. Then a makgeolli structure on U related to subalgebras A and B of E is a makgeolli algebra over U if and only if the nonempty sets and are subalgebras of E, and the nonempty set is a subalgebra of U for all and .
Proof.
Suppose that is a makgeolli algebra over U. Let , and for all and . Then , , , , and . It follows from (10) that
Hence , and . Therefore, , and are subalgebras of U.
Conversely, let be a makgeolli structure on U such that the nonempty sets and are subalgebras of E, and the nonempty set is a subalgebra of U for all and . Let , and be such that and . Taking and imply that and . Thus , and , which imply that
Therefore is a makgeolli algebra over U by Theorem 1. □
Let be a soft universe. Given a makgeolli structure on U related to subsets A and B of E, let be a makgeolli structure related to A and B where
where and with , and .
Theorem 4.
Let be a BCK/BCI-soft universe. If a makgeolli structure on U related to subalgebras A and B of E is a makgeolli algebra over U, then so is .
Proof.
Assume that is a makgeolli algebra over U. Then the nonempty sets and are subalgebras of E, and the nonempty set is a subalgebra of U for all and by Theorem 3. Let . If , then , and so
If or , then or . Hence . Let . If , then , which implies that
If or , then or . Hence . Let . If , then , and so . If of , then or . Hence . Therefore is a makgeolli algebra over U. □
The following example shows that the converse of Theorem 4 is not true in general.
Example 3.
Consider a soft universe in which and . Define a binary operations “∗” on U by
for all . Then is a BCI-algebra. Let be a binary operation on E defined by Table 4.
Table 4.
Cayley table for the binary operation “”.
Then is a BCI-algebra. Let be a makgeolli structure on U defined by
Then and for , and . Let be a makgeolli structure on U given as follows.
that is,
It is routine to verify that is a makgeolli algebra over U. But is not a makgeolli algebra over U since
and/or
Definition 4.
Let be a BCK/BCI-soft universe. A makgeolli structure on U is called a makgeolli ideal over U if it satisfies
Example 4.
There are five woman patients in a hospital which is given by
Communication between two patients and for in the hospital is expressed as and the result is , i.e., for ; this is what informs that the health condition of is serious. In this case “∗” is a binary operation given to U, where it is given as shown in Table 5.
Table 5.
Cayley table for the binary operation “∗”.
Then is a BCI-algebra. Let a set of parameters be a set of status of patients in which each parameter means
with the binary operation “” in Table 6.
ε1: “chest pain”; ε2: “headache”; ε3: “toothache”; ε4: “mental depression”; ε5: “neurosis”
Table 6.
Cayley table for the binary operation “”.
Then is a BCI-algebra. Hence is a BCI-soft universe. Let be a makgeolli structure on U defined by
It is routine to verify that is a makgeolli ideal over U.
Now, let and such that and . Then and . If (18) holds, then
and so . Therefore we have the following theorem.
Theorem 5.
Proposition 4.
Let be a BCK/BCI-soft universe. Every makgeolli ideal over U satisfies the following assertions.
- (1)
- .
- (2)
- .
- (3)
- .
- (4)
- .
Proof.
Proposition 5.
Let be a BCK/BCI-soft universe. Every makgeolli ideal over U satisfies the following assertions.
Proof.
Since for all , we have (22) by (3) in Proposition 4. Let and be such that and . Then and . Since for all , it follows from (4) in Proposition 4 that
Suppose that for all . Then , and so
that is, . This completes the proof. □
Proposition 6.
Let be a BCK/BCI-soft universe. For every makgeolli ideal over U, the following are equivalent.
- (1)
- (2)
Proof.
Let and assume that (1) is valid. Since
it follows from Proposition 4 that
and
Using (1), (2), and (3), we get for all . Hence
for all .
Conversely, suppose that (2) is true. If we take and in (2), then
and
by (III) and (1). This proves (1). □
Theorem 6.
In a BCK-soft universe , every makgeolli ideal is a makgeolli algebra.
Proof.
Let be a makgeolli ideal over U. For any and , we have
and
Therefore is a makgeolli algebra over U by Theorem 1. □
The following example shows that the converse of Theorem 6 is not true in general.
Example 5.
Let . Define a binary operation ∗ on U by
Then is a BCK-algebra (see the work by the authors of [31]). Consider a BCK-algebra with the binary operation ∗ in Table 7.
Table 7.
Cayley table for the binary operation “∗”.
Then is a BCK-soft universe. Let be a makgeolli structure on U defined by
where S is a subalgebra of U. It is routine to verify that is a makgeolli algebra over U. But it is not a makgeolli ideal over U since and/or .
We provide a condition for a makgeolli algebra to be a makgeolli ideal in BCK-soft universe.
Theorem 7.
In a BCK-soft universe , let be a makgeolli algebra over U satisfying the conditions (3) and (4) in Proposition 4. Then is a makgeolli ideal over U.
Proof.
By Proposition 1, we know that , and for all and . Sine and for all and , it follows from the conditions (3) and (4) in Proposition 4 that , and . Therefore, is a makgeolli ideal over U. □
The following example shows that Theorem 6 is not true in a BCI-soft universe .
Example 6.
Consider the two BCI-algebras and with binary operation ∗ and given by Table 8 and Table 9, respectively.
Table 8.
Cayley table for the binary operation “∗”.
Table 9.
Cayley table for the binary operation “”.
Then is a BCI-soft universe. Let be a makgeolli structure on U defined by
It is routine to verify that is a makgeolli ideal over U, but it is not a makgeolli algebra over U since
We provide a condition for Theorem 6 to be true in a BCI-soft universe .
Theorem 8.
In a BCI-soft universe , let be a makgeolli ideal over U satisfying the following condition.
Then is a makgeolli algebra over U.
Proof.
Let and . Then
and It follows from Theorem 1 that is a makgeolli algebra over U. □
Let be a BCI-algebra and . For any and , we define by
The element x of X is said to be of finite periodic (see the work by the authors of [32]) if there exists such that . The period of x is denoted by and it is given as follows.
Theorem 9.
Let be a BCI-soft universe in which every element of U (resp., E) is of finite period. Then every makgeolli ideal over U is a makgeolli algebra over U.
Proof.
Let be a makgeolli ideal over U. For any and , assume that and . Then and . Note that
and
Also, note that
and
Using (28), we have
Continuing this prosess, we get , and , i.e., . Hence satisfies the condition (27), and therefore is a makgeolli algebra over U by Theorem 8. □
Theorem 10.
Let be a BCK/BCI-soft universe. Then a makgeolli structure on U is a makgeolli ideal over U if and only if the sets , , and are ideals of E and U, respectively, for all and .
Proof.
Assume that on U is a makgeolli ideal over U. It is clear that 0 is contained in , and for all and . Let be such that and (resp., and ). Then
(respectively, ), and thus (resp., ). For any , let and . Then and . It follows from Theorem 1 that . Hence . Therefore , and are ideals of E and U, respectively.
Conversely, suppose that the sets , and are ideals of E and U, respectively, for all and . Let and be such that , and . Then , and . Let and be such that , (resp., , ) and , . If we take (resp., ) and , then , (resp., , ) and , . It follows that (resp., ) and . Hence
(resp., ) and
Therefore on U is a makgeolli ideal over U by Theorem 1. □
5. Applications in Medical Sciences
Miss J (say) has cancer and needs surgery. She tries to find a hospital with excellent medical skills, low treatment costs, and friendly nurses. There are six hospitals, and there are two parameter sets, , and , where each parameter for and for , stands for
The medical skills of the hospital are indicated by the following functions.
where, the higher the number, the better the medical skill. Assume that and . Then the makgeolli structure on U is given by Table 10.
Table 10.
Tabular representation of the makgeolli structure .
You know that, in the first row of Table 10, if you find a hospital that responds to the element , the hospital has excellent medical skills, friendly nurses, and medical costs are also low, but you cannot see it. However, you can see the element in the first row of Table 10, and the corresponding hospital is . Therefore, although the medical skill of is slightly lower than that of and , it can be found that the nurse is kind and also the treatment cost is cheap. Therefore Miss J will choose hospital for surgery. Even if the cost of treatment is high, if Miss J find the hospital which the medical skills are excellent and the nurses are kind, she can select the hospital that corresponds to . We can see that the cost of treatment in the hospital with the best medical skills is the most expensive. If a mild cold patient tries to visit a hospital, he or she does not need high-level medical skills. Regardless of the nurse’s kindness, he/she will try to find a hospital where treatment costs are low. In this case, he or she can select the hospital .
6. Conclusions
Soft set theory, which was proposed by Molodtsov in 1999, is a generalization of fuzzy set theory. It is a good mathematical tool for dealing with uncertainty in a parametric manner. Soft set has many applications in medical diagnosis and decision making etc. As an extension of the classical set, Zadeh introduced the fuzzy set in 1965, which has been applied in so many areas. In this paper, we have introduced the concept of makgeolli structures (see Definition 1) using fuzzy and soft set theory and have applied it to BCK/BCI-algebras. We have defined the notion of makgeolli algebra (see Definition 3) and makgeolli ideal (see Definition 4) in BCK/BCI-algebras, and have investigated several properties. We have shown that every makgeolli ideal is a makgeolli algebra in BCK-soft universes (see Theorem 6). We have considered an example to show that any makgeolli algebra may not be a makgeolli ideal in BCK-soft universes (see Example 5). We have provided a condition for a makgeolli algebra to be a makgeolli ideal in BCK-soft universes (see Theorem 7). We have considered an example to show that any makgeolli ideal may not be a makgeolli algebra in BCI-soft universe (see Example 6), and have provided a condition for a makgeolli ideal to be a makgeolli algebra in BCI-soft universes (see Theorem 8). We have discussed characterization of makgeolli algebra and makgeolli ideal (see Theorems 1, 3, 5, and 10). We have made a new makgeolli algebra from old one (see Theorem 4). In the final section, we have considered an application in medical sciences. In the forthcoming research and papers, we will continue these ideas and will define new notions in several algebraic structures.
Author Contributions
The authors contributed equally to the completion of the paper.
Funding
This research received no external funding.
Acknowledgments
We would like to thank anonymous reviewers for their careful reading and valuable comments and suggestions.
Conflicts of Interest
The authors declare no conflict of interest.
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