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Redefining fuzzy entropy with a general framework
ISSN
09574174
Date Issued
2021-02-01
Author(s)
Aggarwal, Manish
DOI
10.1016/j.eswa.2020.113671
Abstract
A general entropy framework is proposed, which could lead to intuitive, interpretable and comparable entropy functions in both probabilistic or fuzzy domain, alike. Based on the proposed general entropy framework, the existing fuzzy entropy functions are redefined. The proposed entropy functions are also extended to the probabilistic-fuzzy domain. The usefulness of the work is shown in a real world case-study.