A Parametric Exponential Entropy Measure for Neutrosophic Sets and It’s Application in Decision Making
Keywords:
Neutrosophic sets, Exponential Entropy, Generalized Exponential fuzzy Entropy, Entropy, Fuzzy Sets, Fuzzy Entropy , Shannon Entropy
Abstract
In this paper, we propose a novel exponential entropy measure for Single-Valued Neutrosophic Sets. Neutrosophic sets as an extension of fuzzy and intuitionistic fuzzy sets, designed to handle uncertain, indeterminate, and inconsistent information in a more refined manner. The proposed entropy measure captures the degree of uncertainty inherent in single valued neutrosophic sets by simultaneously considering the truth-membership, indeterminacy-membership, and falsity-membership degrees. We establish the essential mathematical properties of the proposed entropy measure, including validation. Furthermore, illustrative examples and potential applications in decision-making is presented to validate the practical utility of the proposed measure.
Published
2026-02-24
How to Cite
Joshi, V. M., Dar, J. G., & Alsheikh, S. M. A. (2026). A Parametric Exponential Entropy Measure for Neutrosophic Sets and It’s Application in Decision Making. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-3129
Issue
Section
Research Articles
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