Shannon Entropy for Neutrosophic Information
Vasile Patrascu
TL;DR
This paper extends Shannon entropy to neutrosophic information using a new distance formula, with specific applications to bifuzzy, intuitionistic, and paraconsistent fuzzy data, enhancing the measurement of uncertainty in complex information systems.
Contribution
It introduces a novel entropy measure for neutrosophic information based on a new distance formula, expanding the applicability of Shannon entropy to various fuzzy frameworks.
Findings
Extended Shannon entropy to neutrosophic data
Derived specific formulas for bifuzzy, intuitionistic, and paraconsistent fuzzy information
Enhanced uncertainty measurement in complex information systems
Abstract
The paper presents an extension of Shannon entropy for neutrosophic information. This extension uses a new formula for distance between two neutrosophic triplets. In addition, the obtained results are particularized for bifuzzy, intuitionistic and paraconsistent fuzzy information.
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