Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Entropy, distance measure and similarity measure of fuzzy sets and their relations
Fuzzy Sets and Systems
Fuzzification of set inclusion: theory and applications
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Fuzzy engineering
Subsethood measure: new definitions
Fuzzy Sets and Systems
Distance measure and induced fuzzy entropy
Fuzzy Sets and Systems
Sinha-Dougherty approach to the fuzzification of set inclusion revisited
Fuzzy Sets and Systems - Implication operators
L-fuzzy valued inclusion measure, L-fuzzy similarity and L-fuzzy distance
Fuzzy Sets and Systems - Theme: Basic concepts
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Inclusion measure and entropy of fuzzy sets are two basic concepts in fuzzy set theory. In this paper, we investigate the relationship between inclusion measure and entropy of fuzzy sets in detail, propose two theorems that inclusion measure and entropy of fuzzy sets can be transformed by each other based on their axiomatic definitions and give some formulas to calculate inclusion measure and entropy of fuzzy sets