Keywords
Fermatean fuzzy set, level set, fermatean subalgebra, Fermatean fuzzy subalgebra, Fermatean ideal, Fermatean homomorphism
Classical fuzzy sets have been generalized to better model uncertainty, leading to developments such as intuitionistic, pythagorean, and fermatean fuzzy sets. fermatean fuzzy sets (ffss), characterized by the cube sum constraint on membership and non-membership degrees, provide a more flexible framework for handling complex uncertainty. bn-algebras are important algebraic structures with applications in logic and information theory.
This study integrates fermatean fuzzy sets with bn-algebras by introducing the notions of fermatean fuzzy subalgebras and fermatean fuzzy ideals. level cuts of fermatean fuzzy sets are defined and analyzed, and algebraic techniques are employed to investigate their structural properties.
It is shown that fermatean fuzzy level subalgebras and fermatean fuzzy level ideals correspond to classical subalgebras and ideals of bn-algebras. several characterizations and closure properties are established, supported by illustrative examples and rigorous proofs.
The results demonstrate that fermatean fuzzy sets significantly enrich the theory of bn-algebras by accommodating higher degrees of uncertainty. this framework provides a solid theoretical foundation for further studies and potential applications in algebraic logic and uncertainty-based systems.
Fermatean fuzzy set, level set, fermatean subalgebra, Fermatean fuzzy subalgebra, Fermatean ideal, Fermatean homomorphism
The concept of fuzzy sets (fs), introduced by zadeh,14 and has revolutionized the handling of uncertainty by allowing elements to have varying degrees of membership. this foundational idea was extended by atanassov3 with intuitionistic fuzzy sets (IFS), which added a degree of non-membership and yager13 further advanced this field with pythagorean fuzzy sets (PFS), where the square sum of membership and non-membership degrees is less than or equal to one. Adak, a.k., nilkaumal, and bb arman1 introduced fermatean fuzzy semi-prime order semi groups, and the concept of fermatean fuzzy set (FFS) was naturalized by senapati.t and yager,11 anas and et al.2 introduced the concepts of the direct product of sets that address the importance of fermatean neutrosophic elements. y., komori8 introduced varieties of BCC-Algebra, the relation other algebraic structures, and j.neggers and H.S.kim9 introduced B-algebras, which are related to several generalizations of BCK-algebras, such as BCIci-algebras, BCH-algebras, BCC-algebras, BH-algebras, and10 D-algebras. in addition, Kim, C.B., and Km, hH.s6 discussed the concepts of BN-algebras with different structures, and grzegorz dymek and andrzej walendziak extend the concepts of ideals of BN-algebra to fuzzy ideals of BN-algebra4 with different properties. In this paper, we initiate the concept of a fermatean fuzzy set on the ideals of BN-algebras and study its application. we state and prove some theorems discussed in the fermatean fuzzy set on the ideals of BN-algebras and applications. we also extend the notions of an ideal and a normal ideal in a fermatean fuzzy set on the ideals of bn-algebras.
1 Let be a universe of study. A fermatean fuzzy set in is an object
, where and satisfy the following criteria:
for all where and represent degree membership value and non-degree membership value of an element in
13 The pythagorean fuzzy set defined on a nonempty set is of the form
for all
11 Let be a universal set. A fermatean fuzzy set (FF) in is
1 Let be a universe of study. A fermatean fuzzy set in is an object
13 Algebra of type (2, 0) is called a BN-algebra if for all the following identities hold:
Let ℝ be the set of real numbers and let r = (ℝ, *, 0) be the algebra with the operation * defined by
7 If BCI-algebra satisfies the condition it becomes a BCK-algebra. An algebra satisfies the condition:
8 Algebra is said to be a BM-algebra if it satisfies the following axioms for all
12 Algebra of type (2, 0) is called a BF-algebra if it satisfies the following axioms for all
1 Let X be a universe under discussion. a fermatean fuzzy set in is an object where and ) and the following condition holds:
Let F be a fermatean fuzzy set (FFS) in . then f is called a fermatean fuzzy BN-subalgebra of x if the following conditions hold for all
where for all , andLet x = {0, 1, 2, 3, 4} be a set, and let * be defined by Table 1. The operation table defining the BN-algebra structure used in the following example is given in Table 1.
Then is a BN-algebra. Define by
Define
Let . Then is a subalgebra of the BN-algebra .
We have implies
Also
Hence and for all
Thus, is a fermatean fuzzy subalgebra of
Let X be a BN-algebra and s be a subalgebra of x. Then
Let be a subalgebra of . Then imply . Since and 1, it follows that . Hence is nonempty.
Let . Then and . Since implies , it follows that . We get
Hence is a fermatean fuzzy subalgebra of x. Moreover for all
Let be a BN-algebra and be the set of all fermatean fuzzy subalgebras of . Then for we have:
are called level cuts of s. Here and are called the upper-level cut and lower-level cut of s respectively.
is a fermatean subalgebra of x if and only if and for are subalgebra of .
Assume f is a fermatean fuzzy subalgebra of x. We need to prove and are subalgebra of for
, implies and hence Therefore, is nonempty.
Let Then and . Put and . Now It follows that Hence which implies is a subalgebra of . Similar result holds for or .
Again let such that , for Imply that which implies is non-empty.
Let then and . Put now which imply we get therefore is a subalgebra of x a similar result holds for
Conversely, assume ) and are subalgebras of . We must prove is a fermatean fuzzy subalgebra of .
Let and because and are subalgebras, we have and nonempty. Let and then and .
Suppose then put so that implies that which is a contradiction. Hence for the cases and with followed by a similar argument.
Again, let such that . Then put then we have which implies that which is not correct. Hence for all the cases and with follow by a similar argument thus is a fermatean fuzzy subalgebra of
Let be a BN-algebra and let s be a subalgebra of . Then
Let x be a BN-algebra and let s be a subalgebra of x then
Is a fermatean fuzzy subalgebra of with and for
Let S be a subalgebra of then imply since and , it follows that hence is nonempty.
Let then and and and since imply , it follows that we get
Hence F is a fermatean fuzzy subalgebra of x moreover for all .
Let S be a subalgebra of then is a fermatean level subset of s if and only if
Is a fermatean fuzzy subalgebra of here for all .
Let be a level subset of S in .
Let X be a BN Algebra. then fermatean fuzzy ideal of x is defined by:
where and for allLet X = {0, a, b, c} and * be defined by Table 2.
If , then .
Let I_FF be a fermatean fuzzy ideal of a BN-algebra x then with the property
Let be a fermatean fuzzy ideal of a BN-algebra and be a degree membership function and for all
for all hence for all
Let be a BN-algebra and let be the set of fermatean fuzzy ideals of then for for we have:
Let be a BN-algebra and if and only if the non-empty level subsets and are ideals of .
Let and with we need to prove and are ideals of
Let such that since we have implies .
Again, for x, such that and it follows that hence
Let and , imply and since it follows that
Again let such that then we have and since for all and we get it follows that hence therefore and are ideals of
Conversely, suppose and are ideals of x we must prove is fermatean fuzzy ideal of for each is non-empty if such that then by assumption is an ideal of x hence so that which is a contradiction hence
Let , such that such that and β < δ_f(y) hence But this is impossible as is an ideal of to show is a fermatean fuzzy ideal is simply taking the reverse of the proof done for . This completes the proof.
This paper has addressed a significant gap in the study of algebraic structures by exploring the application of fermatean fuzzy sets (FFS) to the ideals and sub-algebras of BN-algebras. the findings confirm that fermatean fuzzy sets enrich the understanding of BN-algebras by accommodating imprecision more effectively, establishing new structural properties, and broadening the scope of algebraic studies under uncertainty. this makes them a valuable tool not only for theoretical mathematics but also for applications in computer science, decision-making systems, and information processing.
No datasets were generated or analyzed during this study. All results are derived analytically, and all supporting information is fully contained within the manuscript.
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