A Parametric Exponential Entropy Measure for Neutrosophic Sets and It’s Application in Decision Making
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.
Fields of Study & Subjects
Multi-Criteria Decision Making
Fuzzy and Soft Set Theory
Advanced Statistical Process Monitoring
Publication details
- Journal / source
- Statistics Optimization & Information Computing
- Publisher
- International Academic Press
- Volume
- 15
- Issue
- 5
- Pages
- 3526–3538
- Publication date
- 24 February 2026
- Language
- EN