Quantification of Theoretic Assertions Pertaining to Information Entropy Grouping Divergence Under Fuzzy Context
Abstract
Strong groupings and their connection to the diverging principle for the information measure are asserted in a fuzzy ambience in the current communication. It is demonstrated that for every feasible value of n and n(>k), H_n may be stated in terms of H_(n-k+1) and H_k. The diverging property results from its attempts at groupings as well.
Fields of Study & Subjects
Statistical Mechanics and Entropy
Fuzzy and Soft Set Theory
Probability and Statistical Research
Publication details
- Journal / source
- INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH
- Publication date
- 29 January 2026
- Language
- ANG