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Research Article

On homomorphism and Cartesian products of fuzzy PUP ideal on PUP algebra

[version 1; peer review: 1 approved with reservations]
PUBLISHED 20 Jan 2025
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Abstract

Background

In this paper, we explore the Cartesian product of fuzzy PUP ideals and subalgebras within a PUP (pseudo-UP)algebra X. We investigate how fuzzy pseudo-UP ideals are affected under PUP homomorphisms, particularly focusing on the image and inverse image of the fuzzy sets K α and K v , which generalize classical fuzzy sets. These fuzzy sets aim to quantify the level of ambiguity in fuzzy situations.

Methods

We introduced the concept of the Cartesian product of fuzzy PUP ideals and subalgebras of PUP algebra and analyzed their properties. Specifically, we studied the behavior of fuzzy pseudo-UP ideals under PUP homomorphism, using the fuzzy sets K α and K v to model ambiguity. We also examined the strongest fuzzy PUP relation on a fuzzy PUP subalgebra and ideal of PUP algebra.

Results

We proved that the Cartesian product of fuzzy PUP ideals forms a fuzzy pseudo-UP ideal. This result was characterized through its level sets, providing a deeper understanding of the interaction between fuzzy PUP ideals and their algebraic structure. Additionally, the strongest fuzzy PUP relation on a fuzzy PUP subalgebra was defined, and several important properties were derived.

Conclusions

This work extends the concept of fuzzy PUP ideals in the context of PUP algebras and explores how fuzzy homomorphism influence their structure. Our results contribute to a better understanding of fuzzy relations in algebraic settings and open the door for further research into the properties and applications of fuzzy ideals in PUP algebras.

Keywords

Keywords: level set, fuzzy PUP ideal and subalgebra, homomorphism, cartesian product and strongest fuzzy relation.

Introduction

The concepts of set theory and set hypothesis are fascinating in mathematics. However, the core principle of the fundamental set hypothesis, which states that an element either belongs to a set or does not, can make it challenging to represent much of human communication. In a traditional (crisp) set, we have a distinct understanding of whether an element is part of the set or not. Fuzzy sets enable components to be modestly in a set. Each element is assigned a degree of membership in a set, with values ranging from 0 to 1. If only the extreme values of 0 and 1 were allowed, it would be equivalent to traditional (crisp) sets. This theory is being applied across various fields, including medical diagnosis, vulnerability assessment of gas pipeline networks, travel time estimation, and neural network models. Zadeh1 introduced the concept of fuzzy sets in 1965. The primary motivation for studying fuzzy sets is their enhanced ability to handle uncertainty and vagueness in physical problems, surpassing the capabilities of classic fuzzy set theory. This is particularly useful in areas such as logic programming, decision-making, financial services, psychological assessments, medical diagnosis, career planning, and artificial intelligence. Rosenfeld2 explored fuzzy subgroups within fuzzy sets and their fundamental implications in 1971. In 2018 Akram3 the strongest fuzzy relations on fuzzy ideals of Lie were studied, leading to several interesting findings. In 2020, Romano4 introduced a new class of algebras known as pseudo-UP algebras, extending the concept of UP-algebras. He also explored pseudo-UP filters and PUP ideals within pseudo-UP algebras in.5 Additionally, Romano introduced the concept of homomorphisms between pseudo-UP algebras in.6 Choudhury et al.7 introduced the concept of fuzzy homomorphism and its related implications for fuzzy subgroups in 1988 and in 2012 Mostafa et al.8 introduced fuzzy Cartesian product and fuzzy strongest relation on KU algebra. In our previous paper,9 we introduced the concept of a fuzzy PUP subalgebra and fuzzy PUP ideal in PUP algebra and examined some of its properties. In this article, we continue from the previous discussions, we present and examine the concepts of Cartesian product of fuzzy PUP ideal and fuzzy PUP subalgebra within PUP Algebra. The key contributions of this paper are as follows:

  • 1) The concept of κα and κν have been presented in pseudo-UP algebra.

  • 2) The behavior of κα and κν fuzzy PUP ideal homomorphic image of this specific homomorphism has been examined.

  • 3) The strongest fuzzy PUP relations on a fuzzy set within a PUP algebra are explored, demonstrating that a fuzzy PUP relation on a fuzzy set in a PUP algebra is a fuzzy PUP ideal and subalgebra if and only if the corresponding fuzzy set in the PUP algebra is itself a fuzzy pseudo-UP ideal and subalgebra.

  • 4) We investigate the concept of fuzzy PUP ideals and subalgebras in the context of the Cartesian product and analyze several associated properties.

  • 5) We explore some idea of level set of fuzzy PUP ideal and subalgebra of PUP algebra.

Method

In this section, we review some fundamental definitions and results that are utilized in the study presented in this paper.

Definition 2.1.

5 Let J be a non-empty subset of PUP algebra X. It is termed a PUP ideal of X, if it satisfies the following conditions, for all x, y, z ∈ X.

  • i) 0 ∈ J,

  • ii) If x · (y ٨ z), y ∈ J, then x · z ∈ J,

  • iii) If x ٨ (y · z), y ∈ J, then x ٨ z ∈ J, for all x, y, z ∈ X.

Lemma 2.2.

4 In a pseudo-UP algebra X the following holds, for each x ∈ X,

  • 1) x · 0 = 0 and x ٨ 0 = 0,

  • 2) 0 · x = x and 0 ٨ x = x, and

  • 3) x · x = 0 and x ٨ x = 0.

Definition 2.3.

9 A fuzzy subset κ is called fuzzy PUP subalgebra of X, if it satisfies the following axioms:

  • i) κ(x · y) ≥ min{κ(x), κ(y)}, for each x, y ∈ X,

  • ii) κ(x ٨ y) ≥ min{κ(x), κ(y)}, for every x, y ∈ X.

Definition 2.4.

9 A mapping κ: X [0, 1] is a fuzzy PUP ideal of X, if

  • i) κ(0) ≥ κ(x),

  • ii) κ(x · z) ≥ min{κ(x · (y ٨ z)), κ(y)} ,

  • iii) κ(x ٨ z) ≥ min{κ(x ٨ (y · z)), κ(y)}, for any x, y, z ∈ X.

Definition 2.5.

8 Let κ and η be fuzzy subset of a set X and Y, respectively, the Cartesian product of κ and η is define by× η)(x, y) = min{κ(x), η(y)}, for (x, y) ∈ X × Y .

Definition 2.6.

8 If κ is a fuzzy subset of X, the strongest fuzzy relation on X, that is a fuzzy relation on κ is ξ defined by ξ(x, y) = min{κ(x), κ(y)}, for each x, y ∈ X.

Theorem 2.7.

9 Let f: X Y be a homomorphism of a PUP algebra. If κ be a fuzzy PUP ideal of Y . Then f 1(κ) is a fuzzy PUP ideal of X

Theorem 2.8.

9 Let (X, ·, ٨, 0) and (Y, ·, ٨, 0) be a PUP algebra. f: X Y is surjective and κ is a fuzzy PUP ideals of X. Then f(κ) is a fuzzy pseudo-UP ideals of Y, provided that the sup property holds.

Remark 2.9.

Let X and Y be pseudo-UP algebras, we define on X ×Y by, For every (x, y), (u, v) ∈ X × Y , (x, y) · (u, v) = (x · u, y · v), (x, y) ٨ (u, v) = (x٨, u, y ٨ v), then clearly, (X × Y, ·, ٨, (0, 0)) is a pseudo-UP algebra.

Main Results

In this section, we examine homomorphism and Cartesian product of fuzzy PUP ideal and fuzzy PUP subalgebra within PUP algebras.

Theorem 3.1.

If κ is a fuzzy PUP ideal of a PUP algebra X and define a fuzzy subset κα(x) = min{α, κ(x)}, for all x ∈ X and α ∈ [0, 1] is a fuzzy PUP ideal of X.

Proof.

Let κ be a fuzzy PUP ideal of X and α ∈ [0, 1]. Then we need to show that κα is a fuzzy pseudo-UP ideal of X. Since κ is a fuzzy PUP ideal, we have κ(0) ≥ κ(x) κα(0) = min{α, κ(0)} ≥ min{α, κ(x)} = κα(x), for all α ∈ [0, 1]. Also, κ is a fuzzy PUP ideal of gives the

κ(x · z) ≥ min{κ(x · (y ٨ z)), κ(y)} , for all x, y, z ∈ X.

κα(xz)=min{α,κ(xz)}min{α,min{κ(x(y٨z)),κ(y)}}=min{min{α,κ(x(y٨z)),min{α,κ(y)}}=min{κα(x(y٨z)),κα(y)}.

And, we have κ(x ٨ z) ≥ min{κ(x ٨ (y · z)), κ(y)} , for all x, y, z ∈ X.

κα(x٨z)=min{α,κ(x٨z)}min{α,min{κ(x٨(yz)),κ(y)}}=min{min{α,κ(x٨(yz)),min{α,κ(y)}}=min{κα(x٨(yz)),κα(y)}.

This shows that, κα is a fuzzy PUP ideal of X. Since this is true for all α ∈ [0, 1], κα is a fuzzy PUP ideal of X. □

Remark 3.2.

The converse of above theorem need not be necessarily true. This fact is shown by the following example.

Example 3.3.

Let X = {0, a, b, c} be a set with binary operations·and “٨” defined by the following cayley table:

Table 1.

· 0 a b c
0 0 a b c
a 0 0 b c
b 0 a 0 c
c 0 a 0 0

Table 2.

٨0 a b c
0 0 a b c
a 0 0 b c
b 0 a 0 c
c 0 a b 0

See4 (X, ,,0 ) is PUP algebra.

Define the fuzzy set κ(x)={0.7,ifx=00.8,ifx=a0.5,ifx=b0.4,ifx=c.

Since κ(0) = 0.7 < 0.8 = κ(a). It follows that κ is not a fuzzy PUP ideal of a PUP algebra X since it does not meet the requirements of the Definition 2.4 (i). If α = 0.4, then κα(x) = 0.4, for all x ∈ X. Accordingly, using routine calculations, we determine κα is a fuzzy pseudo-UP ideal of a pseudo-UP algebra X.

Theorem 3.4.

If κc is a fuzzy PUP ideal of a PUP algebra X and a fuzzy subset κν(x) = min{1 κ(x), 1 ν}, for all x ∈ X and ν ∈ [0, 1] is a fuzzy PUP ideal of X.

Proof.

Let κc be a fuzzy pseudo-UP ideal of X. Define κν(x) = min{1 κ(x), 1 ν}. Since κc is a fuzzy PUP ideal of X, we have κc(0) ≥ κc(x), for all x ∈ X.

Then κν(0) = min{1 κ(0), 1 ν} ≥ min{1 κ(x), 1 ν} = κν(x), for all x ∈ X and ν ∈ [0, 1]. Next, suppose that κc is a fuzzy PUP ideal of X that is κc(x · z) ≥ min{κc(x · (y ٨ z)), κc(y)} and κc(x ٨ z) ≥ min{κc(x ٨ (y · z)), κc(y)} , for all x, y, z ∈ X. Now,

κν(xz)=min{1κ(xz),1ν}=min{κc(xz),1ν}min{min{κc(x(y٨z)),κc(y)},1ν}=min{min{1κ(x(y٨z)),1ν},min{1κ(y),1ν}}=min{κν(x(y٨z)),κν(y)}.κν(xz)min{κν(x(y٨z)),κν(y)}.

Moreover, κν(x ٨ z) ≥ min{κν(x ٨ (y · z)), κν(y)} , for all x, y, z ∈ X and ν ∈ [0, 1].

κν(x٨z)=min{1κ(x٨z),1ν}=min{κc(x٨z),1ν}min{min{κc(x٨(yz)),κc(y)},1ν}=min{min{1κ(x٨(yz)),1ν},min{1κ(y),1ν}}=min{κν(x٨(yz)),κν(y)}.κν(x٨z)min{κν(x٨(yz)),κν(y)}.

This implies that κν is a fuzzy PUP ideal of a PUP algebra X, for ν ∈ [0, 1]. □

Remark 3.5.

This fact is evidenced by the following example, showing that the converse of the above theorem need not be true.

Example 3.6.

From Example 3.3, we define the fuzzy subset

κ(x)={0.7,ifx=00.6,ifx=a0.5,ifx=b0.5,otherwise.

Since κc(0) = 0.2 < 0.3 = κc(a). It follows that κc is not a fuzzy pseudo-UP ideal of X due to its failure to comply with the Definition 2.4 (i). If ν = 0.8, then κν(x) = 0.2, for all x ∈ X. Thus, through standard calculations, we obtain κν is a fuzzy pseudo-UP ideal of a pseudo-UP algebra X.

Theorem 3.7.

Let κα and ξα be a fuzzy PUP ideals of X. Then κα ∩ ξα is a fuzzy PUP ideal of X.

Proof.

Let κα and ξα be a fuzzy PUP ideals of the universe X. First we need to show that (κ ξ)α = κα ∩ ξα. Now,

(κξ)α(x)=min{α,(κξ)(x)}=min{α,min{κ(x),ξ(x)}}=min{min{α,κ(x)},min{α,ξ(x)}}=min{κα(x),ξα(x)}=(καξα)(x).(κξ)α=καξα.

Then,

(κξ)α(0)=min{α,(κξ)(0)}=min{min{α,κ(x)},min{α,ξ(x)}}min{min{α,κ(x)},min{α,ξ)(x)}}=(καξα)(x).

Next,

(κξ)α(xz)=min{α,(κξ)(xz)}=min{κα(xz),ξα(xz)}min{min{κα(x(y٨z)),κα(y)},min{ξα(x(y٨z)),ξα(y)}}=min{min{κα(x(y٨z)),ξα(x(y٨z))},min{κα(y),ξα(y)}}=min{(καξα)(x(y٨z)),(καξα)(y)}.

Moreover,

(κξ)α(x٨z)=min{α,(κξ)(x٨z)}=min{κα(x٨z),ξα(x٨z)}min{min{κα(x٨(yz)),κα(y)},min{ξα(x٨(yz)),ξα(y)}}=min{min{κα(x٨(yz)),ξα(x٨(yz))},min{κα(y),ξα(y)}}=min{(καξα)(x٨(yz)),(καξα)(y)}.

Consequently, κα ∩ ξα is a fuzzy PUP ideal of X. □

Corollary 3.8.

Let α/i ∈ Λ} be a family of fuzzy PUP ideals of X. Then i∈Λκα is also fuzzy iiz PUP ideal of X.

Remark 3.9.

Let κα and ξα be fuzzy PUP ideals of X. Then κα ξα may not qualify as a fuzzy PUP ideal of X.

Example 3.10.

Let X = {0, 1, 2, 3} be a set with a binary operation·and “*” defined by the following cayley table:

Table 3.

· 0 1 2 3
0 0 1 2 3
1 0 0 3 3
2 0 1 0 0
3 0 1 3 0

Table 4.

٨0 1 2 3
0 0 1 2 3
1 0 0 3 3
2 0 1 0 0
3 0 2 3 0

See4 (X, ,,0 ) is PUP algebra.

κ(x)={0.9,ifx=00.6,ifx=10.5,ifx=20.4,ifx=3.ξ(x)={1,ifx=00.4,ifx=10.3,ifx=20.1,ifx=3.

Clearly, κ and ξ are fuzzy PUP ideals of X. Thus by Theorem 3.1 κα and ξα are fuzzy PUP ideals of X, for α ∈ [0, 1]. If α = 0.7, then κα and ξα are given by

κα(x)={0.7,ifx=00.5,ifx=10.5,ifx=20.4,ifx=3.ξα(x)={0.6,ifx=00.4,ifx=10.3,ifx=20.1,ifx=3.

Now,α ξα)(1 · 3) = max{κα(1 · 3), ξα(1 · 3)} = max{κα(3), ξα(3)} = max{0.4, 0.1} = 0.1.

Hence,(καξα)(13)=0.1.............(٨).
(καξα)(13)=max{κα(13),ξα(13)}max{min{κα(1(2٨3)),κα(2)},min{ξα(1(2٨3)),ξα(2)}}=max{min{κα(10),ξα(10)},min{κα(2),ξα(2)}}=max{min{κα(0),ξα(0)},min{κα(2),ξα(2)}}=max{min{0.7,0.7},min{0.6,0.4}}=max{0.7,0.4}=0.7.

From (٨) we get 0.1 ≥ 0.7 which contradicts the Definition 2.4.

Theorem 3.11.

Any PUP subalgebra of a PUP algebra X can be realized as a level PUP subalgebra of some fuzzy PUP subalgebra of X.

Theorem 3.12.

Let κ be a fuzzy PUP subalgebra of a PUP algebra X. Two upper level PUP subalgebra U(κ, t) and U(κ, s) (with t < s) of a fuzzy PUP subalgebra are equal if and only if there is no x ∈ X such that t ≤ κ(x) < s.

Proof.

Let κ be a fuzzy PUP subalgebra of X. Suppose that U(κ, t) = U(κ, s). Then we claim that there is no x ∈ X such that t ≤ κ(x) < s.

Assume that there exist x ∈ X such that t ≤ κ(x) < s.

xU(κ,t),butx/U(κ,s)
U(κ,s)isaproper subset ofU(κ,s).

This contradicts to the assumption that U(κ, t) = U(κ, s).

Conversely, suppose that there is no x ∈ X such that t ≤ κ(x) < s. Then we have to prove that

(1)
U(κ,t)=U(κ,s).Sincet<s,we getU(κ,s)U(κ,t)

Now, x ∈ U(κ, t) κ(x) ≥ t κ(x) > s (since κ(x) does not lie between t and s) x ∈ U(κ, s)

(2)
Hence,U(κ,t)U(κ,s)

From (1) and (2) we get U(κ, t) = U(κ, s). □

Corollary 3.13.

Let X be a finite PUP algebra and κ be a fuzzy PUP subalgebra of X. If Im (κ) = {t1, …, t n}, then the family of PUP subalgebra {U (κ, ti) | 1 ≤ i ≤ n}, constitutes all the upper level PUP subalgebras of κ in X.

Lemma 3.14.

Let X be a PUP algebra and κ be a fuzzy PUP subalgebra of X. If Im(κ) is finite, say {t1, t2 …, t n}, then for any ti, tj ∈ Im(κ), U (κ, ti) = U (κ, tj) ti = tj.

Theorem 3.15.

Let κ and ξ be two fuzzy PUP subalgebra of a PUP algebra X with identical family of level PUP Subalgebras. If Im(κ) = {t1, t2 …, tr} and Im(ξ) = {q1, q2 …, qk} where t1 ≥ t2 ≥ ··· ≥ tr and q1 ≥ q2≥ ··· ≥ qk. Then

  • 1) k = r

  • 2) U (κ, ti) = U (ξ, qi), i = 1, 2, …, r.

  • 3) If x ∈ X such that κ(x) = ti then ξ(x) = qi, i = 1, 2, …, r.

Corollary 3.16.

Let κ and ξ be two fuzzy PUP subalgebras of a PUP algebra X with identical family of level PUP subalgebras. Then Im(κ) = Im(ξ) κ = ξ.

Proof.

Let Im(κ) = Im(ξ) = {q1, q2, …, qr} where q1 ≥ q2 ≥ · · · ≥ qr. By Theorem 3.15, for any x ∈ X there exists qj such that κ(x) = qi = ξ(x). Thus κ(x) = ξ(x) for all x ∈ X. This implies κ = ξ. □

Theorem 3.17.

Every PUP ideal of X can be realized as a level PUP ideal of some fuzzy PUP ideal of X.

Proof.

Let J be a PUP ideal of a PUP algebra X and κ be a fuzzy subset in X defined by

κ(x)={t,ifxJ0,otherwise.

Clearly, U(κ, t) = J. Since 0 ∈ J, we have κ(0) = t. Thus κ(0) ≥ κ(x), for all x ∈ X. Now, consider the following cases:

Case i) If y ∈ J, x · (y ٨ z) ∈ J, then x · z ∈ J and x ٨ (y · z) ∈ J then x ٨ z ∈ J. Since J is a PUP ideal of X such that κ(x · z) = κ(y) = κ(x · (y ٨ z)) = t and κ(x ٨ z) = κ(y) = κ(x ٨ (y · z)) = t.

κ(x · z) = min{κ(x · (y ٨ z)), κ(y)} and κ(x ٨ z) = min{κ(x ٨ (y · z)), κ(y)}.

Case ii) If x · (y ٨ z), x ٨ (y · z) ∈ J, y ∈ J, then κ(x · (y ٨ z)) = t, κ(y) = 0 and κ(x ٨ (y · z)) = t. Then we have κ(x · z) ≥ 0 = min{0, t} = min{κ(x · (y ٨ z)), κ(y)} and κ(x ٨ z) ≥ 0 = min{0, t} = min{κ(x ٨ (y · z)), κ(y)}.

Case iii) If x · (y ٨ z), x ٨ (y · z) ∈ J, y ∈ J, then κ(x · (y ٨ z)) = 0, κ(y) = t and κ(x ٨ (y · z)) = 0.

Then we get similar resualt as in case(ii).

Case iv) If y ∈ J, x · (y ٨ z), x ٨ (y · z) ∈ J, then κ(y) = 0 = κ(x · (y ٨ z)) = 0 and κ(x ٨ (y · z)) = 0.

κ(x · z) ≥ 0 = min{κ(x · (y ٨ z)), κ(y)} and κ(x ٨ z) ≥ 0 = min{κ(x ٨ (y · z)), κ(y)} , for all x, y, z ∈ X.

Thus κ is a fuzzy PUP ideal of a PUP algebra X. Hence, J is a level PUP ideal of X corresponding to a fuzzy PUP ideal of X. □

Theorem 3.18.

Let {Ji: i = 0, 1, 2, …, n} be any family of a PUP ideal of a PUP algebra X such that J0 ⊂ J1 ⊂ J2 ⊂ … ⊂ Jn = X, then there exist a fuzzy PUP ideal of X.

Theorem 3.19.

Let κ be a fuzzy PUP ideal of X, then the upper level PUP ideals U(κ, s) and U(κ, t), with (s < t) of a fuzzy PUP ideals κ of X are equal if and only if there is no x ∈ X such that s ≤ κ(x) < t.

Proof.

Consider κ is a fuzzy PUP ideal of X and U(κ, s) = U(κ, t), for some s < t. We need to show that there is no x ∈ X such that s ≤ κ(x) < t. Assume that there exist x ∈ x ∈ X such that s ≤ κ(x) < t. This implies that x ∈ U(κ, s) and x ∈ U(κ, t), which contradicts the assumption U(κ, s) = U(κ, t). Hence, there is no x ∈ X such that s ≤ κ(x) < t.

Conversely, assume that there is no x ∈ X such that s ≤ κ(x) < t. We need to prove that U(κ, s) = U(κ, t). Since s < t, we get U(κ, s) U(κ, t) (٨).

Let x ∈ U(κ, s) then κ(x) ≥ s. By our assumption there is no x ∈ X such that κ(x) < t. Then κ(x) ≥ t x ∈ U(κ, t) because κ(x) does not lie between s and t. Hence U(κ, s) U(κ, t)................................ (٨ ٨).

From (٨) and (٨٨), it results in U(κ, s) = U(κ, t). □

Corollary 3.20.

Let κ be a fuzzy PUP ideal of X with finite image. If U(κ, s) = U(κ, t), for some s, t ∈ Im(κ), then s = t.

Theorem 3.21.

Let κ be a fuzzy PUP ideal of a PUP algebra X and let x ∈ X. Then κ(x) = s if and only if x ∈ U(κ, s) but x /∈ U(κ, t), for all t > s.

Definition 3.22.

Let (X, ·X, ٨X, 0X) and (Y, ·Y, ٨Y, 0Y) be PUP algebras. Let f: X Y be homomorphism on PUP algebra. Then any fuzzy set κ in Y, we define a new fuzzy set κf in X by κf (x) = κ(f(x)).

Theorem 3.23.

Let f: X Y be a homomorphism of PUP algebra.

  • 1) If a fuzzy subset κ is a fuzzy PUP subalgebra of Y, then a fuzzy set κf in X is a fuzzy PUP subalgebra of X.

  • 2) If a fuzzy subset κ is a fuzzy PUP ideal of Y, then a fuzzy set κf in X is a fuzzy PUP ideal of X.

Proof.

1) Let f be a homomorphism of a PUP algebra and let κ be a fuzzy PUP subalgebra of Y. Let x, y ∈ X. Then

κf(xy)=κ(f(xy))=κ(f(x)f(y))min{κ(f(x)),κ(f(y))}=min{κf(x),κf(y)}.
κf(x٨y)=κ(f(x٨y))=κ(f(x)٨f(y))min{κ(f(x)),κ(f(y))}=min{κf(x),κf(y)}.

Hence, κf is a fuzzy PUP subalgebra of X.

2) Assume f is a homomorphism of a PUP algebras and κ is a fuzzy PUP ideal of X, then κf (0) = κ(f(0)) = κ(0) ≥ κ(x) = κ(f(x)) = κf (x), for all x ∈ X.

Additionally, let x, y, z ∈ X, then

κf(xz)=κ(f(xz))=κ(f(x)f(z))min{κ(f(x)(f(y)٨f(z))),κ(f(y))}=min{κ(f(x(y٨z))),κ(f(y))}=min{κf(x(y٨z)),κ(f(x))}=min{κf(x(y٨z)),κf(y)}.

Moreover,

κf(x٨z)=κ(f(x٨z))=κ(f(x)٨f(z))min{κ(f(x)٨(f(y)f(z))),κ(f(y))}=min{κ(f(x٨(yz))),κ(f(y))}=min{κf(x٨(yz)),κ(f(x))}=min{κf(x٨(yz)),κf(y)}.

Therefore, κf is a fuzzy PUP ideal of X. □

Theorem 3.24.

Let f: X Y be an epimorphism of PUP algebra. Then κf is a fuzzy PUP subalgebra of X if and only if κ is a fuzzy PUP subalgebra of Y .

Definition 3.25.

Let f be a mapping defined on a PUP Algebra X. If κ is a fuzzy set in X, then the fuzzy set ξ in f(X) defined by

ξ(y)=supxf1(y)κ(x)

for all y ∈ f(X) is called image of κ under f . If ξ is a fuzzy set in f(X), then the fuzzy set κ = ξ ◦f

in X i.e. the fuzzy set defined by κ(x) = ξ(f(x)) for all x ∈ X is called the pre-image of ξ under f .

Theorem 3.26.

Let f: X Y be an epimorphism of PUP algebras. If ξ is a fuzzy PUP subalgebra of Y and let κ is the pre-image of ξ under f , then κ is a fuzzy PUP subalgebra of X.

Proof.

Suppose ξ is a fuzzy PUP subalgebra of Y and κ is pre-image of ξ under f. For x, y ∈ X, we need to show that κ is a fuzzy PUP subalgebra of X. By Definition 3.25 κ = ξ ◦ f defined as κ(x) = ξ(f(x)).

κ(xy)=ξ(f(xy))=ξ(f(x)f(y))min{ξ(f(x)),ξ(f(y))}=min{κ(x),κ(y)}.
κ(x٨y)=ξ(f(x٨y))=ξ(f(x)٨f(y))min{ξ(f(x)),ξ(f(y))}=min{κ(x),κ(y)}.

Hence, κ is a fuzzy PUP subalgebra of X. □

Theorem 3.27.

Let f: X Y be an onto homomorphism of PUP algebra. If κ is a fuzzy PUP subalgebra of Y, then f 1c) = (f 1(κ))c.

Proof.

Let κ be a fuzzy PUP subalgebra of Y. Then, for x ∈ X.

f1(κc)(x)=κc(f(x))=1κ(f(x))=1f1(κ)(x)=(f1(κ))c(x).Thusf1(κc)=(f1(κ))c.

Definition 3.28.

An ideal J of a PUP algebra X is said to be characteristic if f(J) = J, for all f ∈ Aut(X), where Aut(X) is the set of all automorphisms of X. Similarly, a fuzzy PUP ideal κ of a PUP algebra X is said to be fuzzy characteristic if κf (x) = κ(x), for all x ∈ X and f ∈ Aut(X).

Theorem 3.29.

A subset J of X is a PUP ideal if and only if the characteristic function of J is a fuzzy PUP ideal of X.

Proof.

Suppose that κ is a fuzzy characteristic, and let s ∈ Im(κ), f ∈ Aut(X) and x ∈ U(κ, s). Then κf (x)=κ(x)impliesκ(f(x))s,whencef(x)U(κ,s).

Thus f(U(κ,s))U(κ,s)(٨).

Let x ∈ U(κ, s) and y ∈ X such that f(y) = x. Then κ(y) = κf (y) = mu(x) ≥ s. Consequnetly, y ∈ U(κ, s). So, x = f(y) ∈ U(κ, s).

Thus, U(κ,s)f(U(κ,s))(٨٨).

From (٨) and (٨٨) we get f(U(κ, s)) = U(κ, s). Therefore, U(κ, s) is characteristic.

Conversely, suppose thta each level PUP ideal of κ is characteristic, and let x ∈ X, f ∈ Aut(X), κ(x) = s. Then by virtue of Theorem 3.21, x ∈ U(κ, s) and x ∈ U(κ, t), for all t > s. It follows from the assumption that f(x) ∈ f(U(κ, s)) = U(κ, s), so that κf (x) = κ(f(x)) ≥ s. Let t = κf (x) and assume that t > s. Then, f(x) ∈ U(κ, t) = f(U(κ, t)), which implies from the injectivety of f that x ∈ U(κ, t), a contradiction. Hence, κf (x) = κ(f(x)) = s = κ(x) show that κ is a fuzzy characteristic. □

Theorem 3.30.

Let f: X Y be an epimorphism of a PUP algebra. κ is a fuzzy PUP ideal of X with ker f J, then f 1(f(κ)) = κ. □

Proof.

Let y ∈ Y, then there exist x ∈ X such that f(x) = y. Then f 1(f(κ))(x) = f(κ)(f(x)) = κ(y)=supxf1(y){κ(x)} . For any z ∈ X, z ∈ f 1(y) f(z) = y f(z) = f(x) implies f(z)·f(x) = 0 and f(z) ٨ f(x) = 0. Therefore, f(z · x) = 0 and f(z ٨ x) = 0, since f is homomorphism.

zx,z٨xkerfzx,z٨xJ,sincekerfJ.
κ(zx)=κ(0)andκ(z٨x)=κ(0).
κ(z)min{κ(zx),κ(x)}=min{κ(0),κ(x)}=mu(x).
κ(z)min{κ(z٨x),κ(x)}=min{κ(0),κ(x)}=mu(x).
κ(z)κ(x).

Again we can prove that κ(x) ≥ κ(z) κ(z) = κ(x). Thus, f1(f(κ))(x)=supzf1(y)

{κ(z)} = κ(x), for some x ∈ X. Hence, f 1(f(κ)) = κ. □

Theorem 3.31.

Let f: X Y be an epimorphism of PUP algebras and α ∈ [0, 1]. If κα is a fuzzy PUP ideal of X, then f(κα) is a fuzzy PUP ideal of Y .

Theorem 3.32.

Let f: X Y be a homomorphism of fuzzy PUP algebra X into Y and α ∈ [0, 1]. If κα is a fuzzy PUP ideal of Y, then the pre-image f 1α) is a fuzzy PUP ideal of X.

Theorem 3.33.

Let f: X Y be an onto homomorphism of PUP algebras and κα is a fuzzy subset in Y . If f 1α) is a fuzzy PUP ideal of X, then κα is a fuzzy PUP ideal of Y, for α ∈ [0, 1].

Theorem 3.34.

Let f: X Y be an epimorphism of PUP algebras, for all ν ∈ [0, 1], and we define κν(x) = min{1 κ(x), 1 ν} is a fuzzy PUP ideal of X, then f(κν) is a fuzzy PUP ideal of Y .

Proof.

Since f: X Y is an epimorphism of PUP algebras for any y ∈ Y, there exist x ∈ X such that f(x) = y. First we need to show that (f(κ))ν = f(κν). Now

f(κν)(y)=sup{κν(x):f(x)=y}=sup{min{1κ(x),1ν}:f(x)=y}=min{sup{1κ(x),sup1ν}}=min{1f(κ)(y),1ν}=(f(κ))ν,forallyY.

Hence, (f(κ))ν = f(κν).

Then, (f(κ))ν(0) = f(κν)(x) = f(κν)(f(0)) = f 1(f(κν))(0) ≥ κν(0) ≥ κν(x), by Theorem 3.31 (٨). Implies κν(x) = f 1(f(κν))(x) = f(κν)(f(x)) = f(κν)(y). Thus (f(κ))ν(0) ≥ (f(κ))ν(y), y ∈Y.

Also, let x, y, z ∈ Y, since f: X Y is an epimorphisms of PUP algebras, there exist a, b, c ∈ X, such that f(a) = x, f(b) = y, f(c) = z. Then

(f(κ))ν(xz)=f(κν)(xz)=f(κν)(f(a)f(c))=f(κν)(f(ac))κν(ac),byTheorem3.31(٨)min{κν(a(b٨c)),κν(b)}=min{f1(f(κν)),f1(f(κν))(b)}=min{f(κν)(f(a(b٨c))),f(κν)(f(b))}=min{f(κν)(f(a)(f(b)٨f(c))),f(κν)f(b)}=min{f(κν)(x(y٨z)),f(κν)(y)}=min{(f(κ))ν(x(y٨z)),(f(κ))ν(y)}.

And also,

(f(κ))ν(x٨z)=f(κν)(x٨z)=f(κν)(f(a)٨f(c))=f(κν)(f(a٨c))κν(a٨c),byTheorem3.31(٨)min{κν(a٨(bc)),κν(b)}=min{f1(f(κν)),f1(f(κν))(b)}=min{f(κν)(f(a٨(bc))),f(κν)(f(b))}=min{f(κν)(f(a)٨(f(b)f(c))),f(κν)f(b)}=min{f(κν)(x٨(yz)),f(κν)(y)}=min{(f(κ))ν(x٨(yz)),(f(κ))ν(y)}.

Hence, f(κν) is a fuzzy PUP ideal of Y. □

Theorem 3.35.

Let f: X Y be a homomorphism of fuzzy PUP algebra X into Y and ν ∈ [0, 1].

If κν is a fuzzy PUP ideal of Y, then the pre-image f 1ν) is a fuzzy PUP ideal of X.

Proposition 3.36.

Let κ and ξ be fuzzy sets on a PUP algebra X. Then

  • 1. κ × ξ is a fuzzy relation on X.

  • 2. U(κ × ξ, t) = U(κ, t) × U(ξ, t).

  • 3. U+× ξ, t) = U+(κ, t) × U+(ξ, t).

  • 4. L(κ × ξ, s) = L(κ, s) × L(ξ, s).

  • 5. L+× ξ, s) = L+(κ, s) × L(ξ, s).

Lemma 3.37.

Let κ and ξ be any two fuzzy PUP subalgebras of X and Y, respectively. Then× ξ)(0, 0) ≥ (κ × ξ)(x, y), for all (x, y) ∈ X × Y.

Proof.

Let (x, y) ∈ X × Y. Then by definition, it follows that (κ × ξ)(0, 0) = min{κ(0), ξ(0)} ≥ min{κ(x), ξ(y)} = (κ × ξ)(x, y). □

Theorem 3.38.

Let κ1 and κ1 be any two fuzzy PUP subalgebras of X1 and X2, respectively. Then the cartesian product κ1 × κ2 of κ1 and κ2 defined as1 × κ2)(x1, x2) = min{κ1(x1), κ2(x2)} is also a fuzzy PUP subalgebra of X1 × X2.

Proof.

Let X = X1 × X2 and κ = κ1 × κ2. For x = (x1, x2), y = (y1, y2) ∈ X, we have

κ(xy)=κ((x1,x2)(y1,y2))=κ(x1y1,x2y2)=(κ1×κ2)(x1y1,x2y2)=min{κ1(x1y1),κ2(x2y2)}min{min{κ1(x1),κ1(y1)},min{κ2(x2),κ2(y2)}}=min{min{κ1(x1),κ2(x2)},min{κ1(y1),κ2(y2)}}=min{(κ1×κ2)(x1,x2),(κ1×κ2)(y1,y2)}=min{κ(x,y)}.

Also,

κ(x٨y)=κ((x1,x2)٨(y1,y2))=κ(x1٨y1,x2٨y2)=(κ1×κ2)(x1٨y1,x2٨y2)=min{κ1(x1٨y1),κ2(x2٨y2)}min{min{κ1(x1),κ1(y1)},min{κ2(x2),κ2(y2)}}=min{min{κ1(x1),κ2(x2)},min{κ1(y1),κ2(y2)}}=min{(κ1×κ2)(x1,x2),(κ1×κ2)(y1,y2)}=min{κ(x,y)}.

This shows that, κ1 × κ2 is a fuzzy PUP subalgebra of X1 × X2. □

Theorem 3.39.

Let κ and ξ be fuzzy subsets of the PUP algebras X and Y, respectively. Suppose 0X and 0Y are the constant elements of X and Y, respectively. If κ × ξ is a fuzzy PUP subalgebra of X × Y then at least one of the following two statements holds.

  • i. κ(x) ≤ ξ(0Y), for all x ∈ X

  • ii. ξ(y) ≤ κ(0X), for all y ∈ Y.

Theorem 3.40.

Let κ be a fuzzy subset of a PUP algebra X. Let ξ be a strong fuzzy relation on X. If ξ is a fuzzy PUP subalgebra of X × X, then κ(0) ≥ κ(x), for all x ∈ X.

Proof.

Since ξ is a fuzzy PUP subalgebra of X × X and it follows that ξ(x, y) = min{κ(x), κ(y)}. By Lemma 3.37 ξ(0, 0) ≥ ξ(x, x). Then we have κ(0) = min{κ(0), κ(0)} = ξ(0, 0) ≥ ξ(x, x) = min{κ(x), κ(x)} = κ(x). Hence, κ(0) ≥ κ(x), for all x ∈ X. □

Theorem 3.41.

Let κ be a fuzzy subset of a PUP algebra X and let ξ be the strongest fuzzy relation on a PUP algebra X. Then κ is a fuzzy PUP subalgebra of X if and only if ξ is a fuzzy PUP subalgebra of X × X.

Theorem 3.42.

If κ and ξ are fuzzy PUP ideals of X and Y, respectively, then κ × ξ is a fuzzy PUP ideal of X × Y .

Theorem 3.43.

Let κ and ξ be two fuzzy subsets of X and Y, resepecively such that κ × ξ is a fuzzy PUP ideal of κ × ξ of X × Y. Then either κ is a fuzzy PUP ideal of X or ξ is a fuzzy PUP ideal of Y.

Theorem 3.44.

Let κ and ξ be fuzzy subsets of X and Y such that κ × ξ is a fuzzy PUP ideal of X × Y. Then

  • i) either κ(0) ≥ κ(x) or ξ(0) ≥ ξ(y), for all (x, y) ∈ X × Y.

  • ii) If κ(0) ≥ κ(x), for all x ∈ X, then either ξ(0) ≥ ξ(y) or ξ(0) ≥ κ(x), for all (x, y) ∈ X × Y.

  • iii) If ξ(0) ≥ ξ(y), for all y ∈ Y, then either κ(0) ≥ κ(x) or κ(0) ≥ ξ(y), for all (x, y) ∈ X × Y.

Proof.

Let κ × ξ be a fuzzy PUP ideal of X × Y. Then

  • i) Suppose that κ(0) < κ(x), for some x ∈ X and ξ(0) < ξ(y), for some y ∈ Y. Then (κ × ξ)(x, y) = min{κ(x), ξ(y)} > min{κ(0), ξ(0)} = (κ × ξ)(0, 0). This is a contradiction to the fact that κ × ξ is a fuzzy PUP ideal of X × Y.

    Therefore, either κ(0) ≥ κ(x) or ξ(0) ≥ ξ(y), for all (x, y) ∈ X × Y.

  • ii) Suppose that κ(0) ≥ κ(x), for all x ∈ X. Assume that there exist x ∈ X and y ∈ Y such that ξ(0) < κ(x) and ξ(0) < ξ(y). Then ξ(0) < κ(x) ≤ κ(0). Thus (κ × ξ)(x, y) = min{κ(x), ξ(y)} > min{ξ(0), ξ(0)} = ξ(0) = min{κ(0), ξ(0)} = (κ × ξ)(0, 0). This is a contradiction since κ × ξ is a fuzzy PUP ideal of X × Y.

    Hence, either ξ(0) ≥ ξ(y), for all y ∈ Y or ξ(0) ≥ κ(x), for all x ∈ X.

  • iii) Assume that ξ(0) ≥ ξ(y), for all y ∈ Y. Assume that there exist x ∈ X and y ∈ Y such that κ(0) < κ(x) and κ(0) < ξ(y). Then κ(0) < ξ(y) ≤ ξ(y). Thus (κ × ξ)(x, y) = min{κ(x), ξ(y)} ≥ minκ(0), κ(0) = κ(0) = min{κ(0), ξ(0)} = (κ × ξ)(0, 0) which is a contradiction. Hence, either κ(0) ≥ κ(x), for all x ∈ X or κ(0) ≥ ξ(y), for all y ∈ Y. □

Theorem 3.45.

Let κ and Q be fuzzy PUP ideals of X and Y, respectively. Then κ × Q is a fuzzy PUP ideal of X × Y if and only if each non-empty upper t-level set U(κ × Q, t) is a PUP ideal of X × Y, for all t ∈ [0, 1].

Theorem 3.46.

Let κ be a fuzzy set of X and let ξ be the strongest fuzzy relation on X. If ξ , we define ξ(x, y) = min{κ(x), κ(y)} is a fuzzy PUP ideal X × X, then κ(0) ≥ κ(x), for all x, y ∈ X.

Proof.

Suppose ξ is a fuzzy PUP ideal of X × X, it follows that ξ(0, 0) ≥ ξ(x, x), for all x ∈ X. Then we have κ(0) = min{κ(0), κ(0)} = ξ(0, 0) ≥ ξ(x, x) = min{κ(x), κ(x)} = κ(x). Hence, κ(0) ≥ κ(x), for all x ∈ X. □

Theorem 3.47.

Let κ be a fuzzy subset of X and let ξ be the strongest fuzzy relation on X, then κ is a fuzzy PUP ideal of X if and only if ξ is a fuzzy PUP ideal of X × X.

Conclusion

In this paper, we introduced the concept of the Cartesian product of fuzzy PUP ideals and sub-algebras of a PUP algebra X. We also investigated the effects on the image and inverse image of κα and κν of fuzzy PUP ideal under PUP homomorphism. The fuzzy set κα and κν generalize the notion of classical fuzzy sets, aiming to evaluate the level of ambiguity in a fuzzy situation. Finally, we discussed the concept of the strongest fuzzy PUP relation on a fuzzy PUP subalgebra and ideal of a PUP algebra and examined some of its properties.

Author contributions

All the authors are contributed equally in this manuscript and also both authors read and approved the final manuscript.

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Ethical approval and consent were not required.

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Mechderso AA, Alaba BA and Munie TM. On homomorphism and Cartesian products of fuzzy PUP ideal on PUP algebra [version 1; peer review: 1 approved with reservations]. F1000Research 2025, 14:115 (https://doi.org/10.12688/f1000research.160312.1)
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Kalaiarasi K, Cauvery College for Women, Tiruchirappalli, India 
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The  work of the concept of fuzzy PUP ideals in the context of PUP algebras will be extended
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K K. Reviewer Report For: On homomorphism and Cartesian products of fuzzy PUP ideal on PUP algebra [version 1; peer review: 1 approved with reservations]. F1000Research 2025, 14:115 (https://doi.org/10.5256/f1000research.176190.r371592)
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