AISep 24, 2018
Shannon Entropy for Neutrosophic Information
arXiv:1810.00748v12 citations
Originality Synthesis-oriented
AI Analysis
This work addresses the need for entropy measures in neutrosophic information theory, which is incremental as it builds on existing concepts in fuzzy logic.
The paper tackled the problem of extending Shannon entropy to neutrosophic information by introducing a new distance formula for neutrosophic triplets, and the results were applied to specific fuzzy information types like bifuzzy, intuitionistic, and paraconsistent fuzzy.
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.