On Spherical Fuzzy Sublattices and Ideals of Lattices

This study introduces and investigates the concepts of spherical fuzzy sublattices (SFSLs) and spherical fuzzy ideals (SFIs) within the framework of lattice theory. By extending classical sublattices and ideals to the spherical fuzzy setting — where uncertainty is represented by a triplet [Formula: see text] satisfying [Formula: see text]. In this study, we developed a structured approach to model algebraic systems with bounded indeterminacy. Formal definitions are proposed for SFSLs and their ideals. Theoretical properties, including intersection behavior, homomorphic images, and the relationships between fuzzy ideals and sublattices, are analyzed. This study not only enriches the algebraic theory of spherical fuzzy sets but also opens new directions for uncertainty modeling in knowledge representation, soft computing, and logic-based systems.

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Publication Details

Journal
New Mathematics and Natural Computation
Published
2025-10-31
DOI
https://doi.org/10.1142/s1793005728500020
Primary Topic
Constraint Satisfaction and Optimization
Type
article
Field-Weighted Citation Impact
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article

On Spherical Fuzzy Sublattices and Ideals of Lattices

Latha S Nair, A Nasreen
New Mathematics and Natural Computation
Constraint Satisfaction and Optimization
article

On Spherical Fuzzy Sublattices and Ideals of Lattices

Latha S Nair, A Nasreen
article en

Abstract

This study introduces and investigates the concepts of spherical fuzzy sublattices (SFSLs) and spherical fuzzy ideals (SFIs) within the framework of lattice theory. By extending classical sublattices and ideals to the spherical fuzzy setting — where uncertainty is represented by a triplet [Formula: see text] satisfying [Formula: see text]. In this study, we developed a structured approach to model algebraic systems with bounded indeterminacy. Formal definitions are proposed for SFSLs and their ideals. Theoretical properties, including intersection behavior, homomorphic images, and the relationships between fuzzy ideals and sublattices, are analyzed. This study not only enriches the algebraic theory of spherical fuzzy sets but also opens new directions for uncertainty modeling in knowledge representation, soft computing, and logic-based systems.

New Mathematics and Natural Computation
University of Calicut (IN), Mahatma Gandhi University (IN)
Openalex Percentile: Top 63%
Constraint Satisfaction and Optimization
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