Bipolar Fuzzy Commutative Hyper BCK-ideals in Hyper BCK-algebras

Authors

  • D. Ramesh Koneru Lakshmaih Educational Foundation
  • Shake Baji Sir C.R. Reddy College of Engineering
  • Aiyared Iampan Department of Mathematics, School of Science, University of Phayao, Phayao 56000, Thailand https://orcid.org/0000-0002-0475-3320
  • B. Satyanarayana Acharya Nagarjuna University

DOI:

https://doi.org/10.29020/nybg.ejpam.v18i4.6909

Keywords:

Hyper BCK-algebra (HBCKA), Commutative hyper BCK-ideal (CHBCKI), Fuzzy commutative hyper BCK-ideal (FCHBCKI), Bipolar fuzzy commutative hyper BCK-ideal (BF-CHBCKI)

Abstract

This study introduces the concept of bipolar fuzzy commutative hyper BCK-ideals (BF-CHBCKIs) within the algebraic framework of hyper BCK-algebras, offering a novel approach to modeling dual uncertainty through bipolar fuzzy sets. By defining and classifying BF-CHBCKIs across multiple types and examining their structural relationships with reflexive, strong, and weak hyper BCK-ideals, we establish a comprehensive theoretical foundation supported by formal theorems and illustrative examples. These findings extend current understandings in hyperstructure theory and fuzzy algebra, contributing to the broader landscape of abstract mathematical reasoning. Importantly, this research aligns with the goals of Sustainable Development Goal 4 (SDG-4) by promoting inclusive and equitable quality education. The formalization of BF-CHBCKIs fosters advanced mathematical thinking and provides meaningful tools for enhancing learning environments, particularly in schools and institutions that emphasize research-oriented instruction. By integrating abstract algebraic structures with uncertainty modeling, this work supports the cultivation of analytical skills, mathematical creativity, and deeper engagement with formal logic among students and emerging researchers.

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Published

2025-11-05

Issue

Section

Algebra

How to Cite

Bipolar Fuzzy Commutative Hyper BCK-ideals in Hyper BCK-algebras. (2025). European Journal of Pure and Applied Mathematics, 18(4), 6909. https://doi.org/10.29020/nybg.ejpam.v18i4.6909