Subalgebras and Ideals in Fuzzy Normed BCK-algebras and BCI-Algebras

We study the interplay between fuzzy BCK/BCI-norms and algebraic substructures in BCK- and BCI-algebras. We show that level subsets induced by a fuzzy BCK/BCI-norm need not form ideals or subalgebras in general, and introduce strong fuzzy normed BCK/BCI-algebras via a strengthened fuzzy triangle inequality. Under this framework, we prove that a level subset is an ideal if and only if the underlying fuzzy norm is strong, and we establish corresponding results for subalgebras, highlighting essential differences between the BCK and BCI cases. We also examine when fuzzy sets, fuzzy subalgebras, and fuzzy ideals can induce fuzzy normed structures, showing that additional injectivity and order conditions are necessary. Several examples illustrate the sharpness of the results. The results have natural interpretations in approximate reasoning, knowledge representation, and the algebraic study of logical systems under uncertainty.

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Publication Details

Journal
Universal Journal of Mathematics and Applications
Published
2026-06-26
DOI
https://doi.org/10.32323/ujma.1858781
Primary Topic
Fuzzy and Soft Set Theory
Type
article
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article

Subalgebras and Ideals in Fuzzy Normed BCK-algebras and BCI-Algebras

Ravikumar Bandaru, Young Bae Jun
Universal Journal of Mathematics and Applications
Fuzzy and Soft Set Theory
article

Subalgebras and Ideals in Fuzzy Normed BCK-algebras and BCI-Algebras

Ravikumar Bandaru, Young Bae Jun
article en

Abstract

We study the interplay between fuzzy BCK/BCI-norms and algebraic substructures in BCK- and BCI-algebras. We show that level subsets induced by a fuzzy BCK/BCI-norm need not form ideals or subalgebras in general, and introduce strong fuzzy normed BCK/BCI-algebras via a strengthened fuzzy triangle inequality. Under this framework, we prove that a level subset is an ideal if and only if the underlying fuzzy norm is strong, and we establish corresponding results for subalgebras, highlighting essential differences between the BCK and BCI cases. We also examine when fuzzy sets, fuzzy subalgebras, and fuzzy ideals can induce fuzzy normed structures, showing that additional injectivity and order conditions are necessary. Several examples illustrate the sharpness of the results. The results have natural interpretations in approximate reasoning, knowledge representation, and the algebraic study of logical systems under uncertainty.

Universal Journal of Mathematics and ApplicationsVol. 9(2)
Gyeongsang National University (KR), VIT-AP University
Reduced inequalities
Openalex Percentile: Top 4%
Fuzzy and Soft Set Theory
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