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Research Article

Some Results of Fermatean Fuzzy Set on Subalgebras and Ideals of Bn-Algebras

[version 1; peer review: awaiting peer review]
PUBLISHED 02 Feb 2026
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Abstract

Background

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.

Methods

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.

Results

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.

Conclusions

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.

Keywords

Fermatean fuzzy set, level set, fermatean subalgebra, Fermatean fuzzy subalgebra, Fermatean ideal, Fermatean homomorphism

1. Introduction

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.

2. Preliminaries

Definition 2.1:

1 Let X be a universe of study. A fermatean fuzzy set F in X is an object

F={(x,δF(x),θF(x))|xX} , where δF:X[0,1] and θF:X[0,1],θF(x)=1δF(x) satisfy the following criteria:

0δF(x)³+θF(x)³1 for all xX, where δF(x) and θF(x) represent degree membership value and non-degree membership value of an element in F.

Definition 2.2:

13 The pythagorean fuzzy set defined on a nonempty set X is of the form

P={(x,θP(x),δP(x))|xX},
where θP(x) and δP(x) are the degree membership and non-degree membership functions from X to [0, 1] and

0(θP(x))²+(δP(x))²1 for all xX.

Definition 2.3:

11 Let X be a universal set. A fermatean fuzzy set (FF) in X is

F={(x,θF(x),δF(x))|xX}
with 0(θF(x))³+(δF(x))³1 for all xX, where θF:X[0,1] and δF:X[0,1] represent the degree membership and non-degree membership functions, respectively.

Definition 2.4:

1 Let X be a universe of study. A fermatean fuzzy set F in X is an object

F={(x,δF(x),θF(x))|xX},
where δF:X[0,1] and θF:X[0,1],θF(x)=1δF(x) satisfy the following criteria:
0δF(x)³+θF(x)³1forallxX,
where δF(x) and θF(x) represent degree membership value and non-degree membership value of an element in F .

Definition 2.5:

13 Algebra (X,,0) of type (2, 0) is called a BN-algebra if for all x,y,zX the following identities hold:

  • 1. xx=0

  • 2. x0=x

  • 3. (xy)z=(0z)(yx). Let (X,,0) be a BN-algebra. We define binary relation on X by xy if and only if xy=0 . for any xX , if x0 , then x=0.

Example 2.6:

Let ℝ be the set of real numbers and let r = (ℝ, *, 0) be the algebra with the operation * defined by

xy={xify=0yifx=00,otherwise
then r is a BN-algebra.

Proposition 2.7:

5 If (X,,0) is a BN-algebra then for all x,yX

  • 1. 0(0x)=x

  • 2. 0(xy)=yx

  • 3. yx=(0x)(0y)

  • 4. xy=0yx=0

  • 5. 0x=0yx=y.

Definition 2.8:

7 If BCI-algebra satisfies the condition 0x=x it becomes a BCK-algebra. An algebra (X,,0) satisfies the condition:

  • 1. xx=0

  • 2. x0=x

  • 3. (xy)z=x(z(0y)) for all x,yX as a generalization of BCK-algebra.

Definition 2.9:

8 Algebra (X,,0) is said to be a BM-algebra if it satisfies the following axioms for all x,y,zX:

  • 1. x0=x

  • 2. (zx)(zy)=yx

Definition 2.10:

12 Algebra (X,,0) of type (2, 0) is called a BF-algebra if it satisfies the following axioms for all x,yX:

  • 1. xx=0

  • 2. x0=x

  • 3. 0(xy)=yx

Definition 2.11:

1 Let X be a universe under discussion. a fermatean fuzzy set F in X is an object F={(x,δF(x),θF(x))|xX} where δF(x):X[0,1],θF(x):X[0,1] and θF(x)=1δF(x ) and the following condition holds:

0(δF(x))³+(θF(x))³1forallxX.

3. Main results

3.1 Fermatean BN-Sub algebra of BN-Algebras

Definition 3.1:

Let F be a fermatean fuzzy set (FFS) in X . then f is called a fermatean fuzzy BN-subalgebra of x if the following conditions hold for all x,yX:

  • 1. δF(xy)δF(x)δF(y)

  • 2. θF(xy)θF(x)θF(y)

where θF(x)=1δF(x),δF:X[0,1],θF:X[0,1] for all xX , and
0(δF(x))³+(θF(x))³1.

Example 3.2:

Let 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 (X,,0) is a BN-algebra. Define δF:X[0,1] by

δF(0)=0.9,δF(1)=0.5=δF(3),δF(4)=0.6=δF(2).

Define θF(x)=1δF(x).ThenθF(0)=0.1,θF(1)=0.5,θF(2)=0.4,θF(3)=0.5,θF(4)=0.4.

Let S={0,1}X . Then S is a subalgebra of the BN-algebra X .

We have δF(01)=δF(1)0.90.5=δF(0)δF(1) implies δF(01)δF(0)δF(1).

Also θF(01)=θF(1)0.10.5=θF(0)θF(1).

Hence δF(xy)δF(x)δF(y) and θF(xy)θF(x)θF(y) for all x,yX.

Thus, F={xS:δF(x),θF(x)} is a fermatean fuzzy subalgebra of X.

Table 1. Fermatean fuzzy sub algebra.

*0123 4
001224
110323
224012
333200
442330
Proposition 3.3:

Let X be a BN-algebra and s be a subalgebra of x. Then

F={xS:θF(x)=0&δF(x)=1}
is a fermatean fuzzy subalgebra of x with
0(θF(x))3+(δF(x))31,θF:X[0,1],δF:X[0,1]
and θF(x)=1δF(x) for xX .

Proof:

Let S be a subalgebra of X . Then x,yS imply xyS . Since θF(0)=0 and δF(0)= 1, it follows that 0F . Hence F is nonempty.

Let x,yF . Then θF(x)=0,δF(x)=1 and θF(y)=0,δF(y)=1 . Since x,yF implies x,yS , it follows that xyS . We get θF(xy)=0,δF(xy)=1.

  • 1. 1=δF(xy)11=δF(x)δF(y) . It follows δF(xy)δF(x)δF(y) for all x,yS.

  • 2. 0=θF(xy)00=θF(x)θF(y). We get 0=θF(xy)θF(x)θF(y) for all x,yS.

Hence F is a fermatean fuzzy subalgebra of x. Moreover 0(θF(x))³+(δF(x))³1 for all x,yF.

Definition 3.4:

Let X be a BN-algebra and SFF(X) be the set of all fermatean fuzzy subalgebras of X . Then for δF,θFSFF(X) we have:

  • 1. U(δF,t)=(δF)t={xS:δF(x)t,t[0,1]}

  • 2. L(θF,k)=(θF)k={xS:θF(x)k,k[0,1]}

are called level cuts of s. Here U(δF,t) and L(θF,k) are called the upper-level cut and lower-level cut of s respectively.

Theorem 3.5:

F={xX,δF(x),θF(x)} is a fermatean subalgebra of x if and only if U(δF,t) and L(θF,k) for k,t[0,1] are subalgebra of X .

Proof:

Assume f is a fermatean fuzzy subalgebra of x. We need to prove U(δF,t) and L(θF,k) are subalgebra of X for k,t[0,1].

Let x0X such that δF(x0)t. Since

δF(0)=δF(x0x0)=δF(x0)δF(x0)=δF

(x0)t , implies δF(0)t and hence 0U(δF,t). Therefore, U(δF,t) is nonempty.

Let x,yU(δF,t). Then δF(x)t and δF(y)t . Put δF(x)=t and δF(y)=t . Now δF(xy)δF(x)δF(y)=tt=t. It follows that δF(xy)t. Hence xyU(δF,t), which implies U(δF,t) is a subalgebra of X . Similar result holds for 0<t1<t21 or 0<t2<t11 .

Again let x0X such that θF(x_0)k , for δF(x_0)=1θF(x_0),k[0,1].θF(0)=θF(x0x0)θF(x_0)θF(x_0)=θF(x_0)k. Imply that 0L(θF,k) which implies L(θF,k) is non-empty.

Let x,yL(θF,k) then θF(x)k and θF(y)k . Put θF(x)=k=θF(y) now θF(xy)θF(x)θF(y)=kk=k which imply θF(xy)k we get xyL(θF,k) therefore L(θF,k) is a subalgebra of x a similar result holds for 0<k1<k21or0<k2<k11.

Conversely, assume U(δF,t ) and L(θF,k) are subalgebras of X . We must prove F={xX,δF(x),θF(x)} is a fermatean fuzzy subalgebra of X .

Let t,k[0,1] and because U(δF,t) and L(θF,k) are subalgebras, we have U(δF,t) and L(θF,k) nonempty. Let x0U(δF,t) and x0L(θF,k) then δF(x0)t and θF(x0)k .

Suppose δF(xy)<δF(x)δF(y) then put β=½{δF(xy)+δF(x)δF(y)} so that δF(xy)<β<δF(x)δF(y)δF(xy) implies that δF(xy)<δF(xy) which is a contradiction. Hence δF(xy)δF(x)δF(y) for x,yX the cases x0U(δF,t) and y0L(θF,k) with x0y0 followed by a similar argument.

Again, let x,yX such that θF(xy)>θF(x)θF(y) . Then put γ=½{θF(xy)+θF(x)θF(y)} then we have θF(xy)>γ>θF(x)θF(y)θF(xy) which implies that θF(xy)>θF(xy) which is not correct. Hence θF(xy)θF(x)θF(y) for all x,yX the cases x0U(δF,t) and y0L(θF,k) with x0y0 follow by a similar argument thus F={xX,δF(x),θF(x)} is a fermatean fuzzy subalgebra of X.

Definition 3.6:

Let X be a BN-algebra and let s be a subalgebra of X . Then

F={xS:(x,δF(x),θF(x))}
where θF=1δF,δF:X[0,1],θF:X[0,1] . Then f is a fermatean fuzzy subalgebra of x if x,yFxyF .

Proposition 3.7:

Let x be a BN-algebra and let s be a subalgebra of x then

F={xS:θF(x)=0  &δF(x)=1}

Is a fermatean fuzzy subalgebra of X with 0(θF(x))³+(δF(x))³1,θF:X[0,1],δF:X[0,1] and θF(x)=1δF(x) for xX.

Proof:

Let S be a subalgebra of X then x,yS imply xyS since θF(0)=0 and δF(0)=1 , it follows that 0F hence F is nonempty.

Let x,yF then θF(x)=0 and δF(x)=1 and θF(y)=0 and δF(y)=1 since x,yF imply x,yS , it follows that xyS we get θF(xy)=0,δF(xy)=1.

  • 1. 0=θF(xy)00=θF(x)θF(y) it follows θF(xy)θF(x)θF(y) for all x,yS.

  • 2. 1=δF(xy)11=δF(x)δF(y) we get δF(xy)δF(x)δF(y) for all x,yS.

Hence F is a fermatean fuzzy subalgebra of x moreover 0(θF(x))³+(δF(x))³1 for all x,yF .

Theorem 3.8:

Let S be a subalgebra of X then (δF,θF){(t,k)} is a fermatean level subset of s if and only if

F={xS:δF(x)t,θF(x)k,t,k[0,1]}

Is a fermatean fuzzy subalgebra of X here 0(δF(x))³+(θF(x))³1 for all xS .

Proof:

Let (δF,θF){(t,k)} be a level subset of S in X .

Claim:

F is a fermatean fuzzy subalgebra.

  • 1. Since 0F,δF(0)t and θF(0)k to show closure put δF(0)=0 and θF(x)=0F is nonempty.

  • 2. Let x,yF then δF(x)t,θF(x)k and δF(y)t,θF(y)k put δF(x)=δF(y)=t=tt=inf{t,t}=δF(x)δF(y)δF(xy)δF(xy)txyF.

  • 3. Letx,yFθF(x)k and θF(y)k.Putk=θF(x)=θF(y).k=sup{k,k}=sup{θF(x),θF(y)}θF(xy)θF(xy)kxyF.

Hence f is a fermatean fuzzy subalgebra of X.

3.2 Fermatean Fuzzy Ideal of BN-Algebra

Definition 3.9:

Let X be a BN Algebra. then fermatean fuzzy ideal of x is defined by:

  • 1. δF(0)δF(x),xX.

  • 2. δF(x)δF(xy)δF(y).

  • 3. θF(x)θF(xy)θF(y),forallx,yX .

where δF:X[0,1] and θF:X[0,1],θF(x)=1δF(x) for all xX.

Example 3.10:

Let X = {0, a, b, c} and * be defined by Table 2.

Let 0t3<t2<t1<1. Define a fuzzy subset δF:X[0,1] by

δF(x)={t1ifx=0t2ifx=bt3ifx{a,c}
and θF(x)=1δF(x). we must show δF and θF satisfy the condition of the fermatean fuzzy ideal of X .
  • 1. if x=b and y=a, we have δF(b)=t2δF(ba)δF(a) hence it holds. δF(0)=t1>t2>t3 it follows that δF(0)δF(x) for all xX.

  • 2. θF(b)=1t2(1t2)(1t3)=θF(b)θF(ba).ImplyθF(b)=1t2θF(b)θF(ba).

If x=a , then θF(a)=1t3(1t3)(1t1)=θF(a)θF(aa) .

Table 2. Fermatean fuzzy ideal.

*0ab c
00abc
aa0aa
bba0a
ccaa0
Proposition 3.11:

For a fermatean fuzzy ideal IFF of x and any x,yX . if xy then

  • 1. δF(x)δF(y)

  • 2. θF(y)θF(x)

Proof:

Let x,yX such that xy implies xy=0 . it follows yx=0.

  • 1. δF(y)δF(yx)δF(x)=δF(0)δF(x)=δF(x).HenceδF(y)δF(x).

  • 2. θF(y)=1δF(y)(1δF(yx))(1δF(x))=(1δF(0))(1δF(x))1δF(x)=θF(x). Hence θF(y)θF(x) for xy and x,yX.

Proposition 3.12:

Let I_FF be a fermatean fuzzy ideal of a BN-algebra x then θF(0)θF(x)forallxX,δF:X[0,1]andθF(x)=1δF(x) with the property 0(θF(x))³+(δF(x))³1.

Proof:

Let IFF be a fermatean fuzzy ideal of a BN-algebra X and δF:X[0,1] be a degree membership function and θF(x)=1δF(x) for all xX.

θF(0)=1δF(0)1δF(x)=θF(x) for all xX hence θF(0)θF(x) for all xX.

Proposition 3.13:

Let IFF be a fermatean fuzzy ideal of X and J=IFF then

χJ(x)={1ifxJ0ifxJ.
then χJ is a fuzzy ideal of X .

Proof:

Let j be a fermatean fuzzy ideal of x and

χJ(x)={1ifxJ0ifxJ
  • 1. Let χJ=δF then we have δF(x)=1δF(x) for all xJ and 0J but δJ(x)=1 it follows that 0χJ . δF(0)=δF(x) for all xχJ it follows that δF(0)δF(x) for all xχJ.

  • 2. Let xyJ and yJ then δF(xy)=1 and δF(y)=1 we get δF(x)δF(xy)δF(y)=11=1 imply δF(x)1 but δF(x)1 so that δF(x)=1 hence xχJ and xJ consequently δF(x)δF(xy)δF(y) for x,yJ therefore χJ is a fuzzy ideal of X .

3.3 Fermatean level ideal of BN-Algebra

Definition 3.14:

Let X be a BN-algebra and let IFF(X) be the set of fermatean fuzzy ideals of X then for δFIFF(X) for δF& θFIFF(X) we have:

  • 1. U(δF,t)={xX:δF(x)t,t[0,1]}

  • 2. L(θF,k)={xX:θF(x)k,k[0,1]} are called fermatean level ideal of X and U(δF,t) and L(θF,k) are called upper level ideal and lower-level ideal respectively.

Theorem 3.15:

Let X be a BN-algebra and δF,θFIFF(X),θF(x)=1δF(x) if and only if the non-empty level subsets U(δF,t) and L(θF,k),t,k[0,1] are ideals of X .

Proof:

Let δF,θFIFF(X) and t,k[0,1] with θF(x)=1δF(x). we need to prove U(δF,t) and L(θF,k) are ideals of X.

Let x0X such that δF(x0)t,t[0,1] since δF,θFIFF(X) we have δF(0)δF(x0)t implies 0U(δF,t) .

Again, for x0 x, such that θF(x0)k and θF(0)θF(x0)k it follows that θF(0)k hence 0L(θF,k).

Let x,yX and xy,yU(δF,t),t[0,1] , imply δF(xy)t and δF(y)t since δFIFF(X),δF(x)δF(xy)δF(y)t.δF(x)t it follows that xU(δF,t).

Again let x,yX such that xy,yL(θF,k) then we have θF(xy)k and θF(y)k since 0(θF(x))³+(δF(x))³1 for all xX and θFIFF(X) we get θF(x)θF(xy)θF(y)k it follows that θF(x)k hence xL(θF,k) therefore U(δF,t) and L(θF,k),t,k[0,1] are ideals of X.

Conversely, suppose U(δF,t) and L(θF,k),t,k[0,1] are ideals of x we must prove IFF(X) is fermatean fuzzy ideal of X for each t[0,1],U(δF,t) is non-empty if x0X such that δF(0)δF(x0)=s[0,1] then U(δF,s) by assumption U(δF,s) is an ideal of x hence 0U(δF,s) so that δF(0)s which is a contradiction hence δF(0)δ_F(x_0)s[0,1],x0X.

Let x,yX , such that δF(x)<δF(xy)δF(y).Letβ=½{δF(x)+(δF(xy)δF(y))} such that δF(x)<β<δF(xy)δF(y)δF(xy) and β < δ_f(y) hence xy,yU(δF,β). But xU(δF,β) this is impossible as U(δF,t) is an ideal of X to show θF is a fermatean fuzzy ideal is simply taking the reverse of the proof done for δF . This completes the proof.

4. Conclusions

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.

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Derso D, Tefera G and Assen Teshome E. Some Results of Fermatean Fuzzy Set on Subalgebras and Ideals of Bn-Algebras [version 1; peer review: awaiting peer review]. F1000Research 2026, 15:163 (https://doi.org/10.12688/f1000research.175837.1)
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