A Novel Concept of Bipolar Fuzzy Sets in UP (BCC)-Algebras: Bipolar Fuzzy Implicative UP (BCC)-Filters

This paper introduces the innovative concept of bipolar fuzzy implicative UP (BCC)-filters (BFIBCCFs) within the framework of UP (BCC)-algebras, aiming to enhance the theoretical understanding of fuzzy algebraic structures. Building upon established principles of bipolar fuzzy sets and UP (BCC)-algebras, we rigorously define BFIBCCFs and investigate their essential properties. The study explores the intricate relationships between BFIBCCFs and their associated cut sets, providing a comprehensive mathematical framework for their analysis. By extending existing theories, this research bridges a critical gap in the field and sets a foundation for further exploration in logical algebra and computational applications. The findings contribute not only to advancing theoretical mathematics but also to enabling practical applications in areas requiring precise modeling of uncertainty and dual-valued logic.

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Publication Details

Journal
International Journal of Analysis and Applications
Published
2025-03-17
DOI
https://doi.org/10.28924/2291-8639-23-2025-71
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel Concept of Bipolar Fuzzy Sets in UP (BCC)-Algebras: Bipolar Fuzzy Implicative UP (BCC)-Filters

Pongpun Julatha, Aiyared Iampan, Thiti Gaketem, Pannawit Khamrot et al.
International Journal of Analysis and Applications
Fuzzy Logic and Control Systems
article

A Novel Concept of Bipolar Fuzzy Sets in UP (BCC)-Algebras: Bipolar Fuzzy Implicative UP (BCC)-Filters

Pongpun Julatha, Aiyared Iampan, Thiti Gaketem, Pannawit Khamrot, Rukchart Prasertpong
article en

Abstract

This paper introduces the innovative concept of bipolar fuzzy implicative UP (BCC)-filters (BFIBCCFs) within the framework of UP (BCC)-algebras, aiming to enhance the theoretical understanding of fuzzy algebraic structures. Building upon established principles of bipolar fuzzy sets and UP (BCC)-algebras, we rigorously define BFIBCCFs and investigate their essential properties. The study explores the intricate relationships between BFIBCCFs and their associated cut sets, providing a comprehensive mathematical framework for their analysis. By extending existing theories, this research bridges a critical gap in the field and sets a foundation for further exploration in logical algebra and computational applications. The findings contribute not only to advancing theoretical mathematics but also to enabling practical applications in areas requiring precise modeling of uncertainty and dual-valued logic.

International Journal of Analysis and ApplicationsVol. 23
University of Phayao
Openalex Percentile: Top 98%
Fuzzy Logic and Control Systems
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