Translation of a Bipolar Fuzzy Set in Hilbert Algebras

This study explores the application of bipolar fuzzy set theory within Hilbert algebras, introducing and examining the concept of bipolar fuzzy (β, α)-translations of a bipolar fuzzy set φ =(φ+, φ−) in two distinct forms: Type I and Type II. Fundamental properties of these bipolar fuzzy translations are investigated in depth, alongside the introduction of bipolar fuzzy extensions andintensities, broadening the utility and flexibility of bipolar fuzzy sets in capturing nuanced bipolar information. Moreover, this work addresses the intricate relationships between the complement of a bipolar fuzzy subalgebra, bipolar fuzzy ideal, and bipolar fuzzy deductive system with respect to their level cuts. The findings significantly contribute to the broader theoretical foundation and potential applications of bipolar fuzzy logic in Hilbert algebras, offering valuable insights for managing complex bipolar information in uncertain environments.

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Publication Details

Journal
European Journal of Pure and Applied Mathematics
Published
2024-10-31
DOI
https://doi.org/10.29020/nybg.ejpam.v17i4.5536
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Translation of a Bipolar Fuzzy Set in Hilbert Algebras

Aiyared Iampan, N. Rajesh, C. Arivazhagi, J. Princivishvamalar
European Journal of Pure and Applied Mathematics
Fuzzy Logic and Control Systems
article

Translation of a Bipolar Fuzzy Set in Hilbert Algebras

Aiyared Iampan, N. Rajesh, C. Arivazhagi, J. Princivishvamalar
article en

Abstract

This study explores the application of bipolar fuzzy set theory within Hilbert algebras, introducing and examining the concept of bipolar fuzzy (β, α)-translations of a bipolar fuzzy set φ =(φ+, φ−) in two distinct forms: Type I and Type II. Fundamental properties of these bipolar fuzzy translations are investigated in depth, alongside the introduction of bipolar fuzzy extensions andintensities, broadening the utility and flexibility of bipolar fuzzy sets in capturing nuanced bipolar information. Moreover, this work addresses the intricate relationships between the complement of a bipolar fuzzy subalgebra, bipolar fuzzy ideal, and bipolar fuzzy deductive system with respect to their level cuts. The findings significantly contribute to the broader theoretical foundation and potential applications of bipolar fuzzy logic in Hilbert algebras, offering valuable insights for managing complex bipolar information in uncertain environments.

European Journal of Pure and Applied MathematicsVol. 17(4)
Government of Malaysia (MY), University of Phayao (TH)
University of Phayao, Thailand Science Research and Innovation
Openalex Percentile: Top 83%
Fuzzy Logic and Control Systems
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