Where do we stand on measures of uncertainty, ambiguity, fuzziness, and the like?
Fuzzy Sets and Systems - Special Issue: Measures of Uncertainty
Some new information measures for fuzzy sets
Information Sciences: an International Journal
Why triangular membership functions?
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Application of entropy and energy measures of fuzziness to processing of ECG signal
Fuzzy Sets and Systems
The entropy change in extension principle
Fuzzy Sets and Systems
Correlation and information energy of interval-valued fuzzy numbers
Fuzzy Sets and Systems
Entropy and information energy for fuzzy sets
Fuzzy Sets and Systems
Some new fuzzy entropy formulas
Fuzzy Sets and Systems
A novel fuzzy logic approach to mammogram contrast enhancement
Information Sciences—Applications: An International Journal
Some formulae to calculate the entropies of the image fuzzy sets
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Using fuzzy MCDM to select partners of strategic alliances for liner shipping
Information Sciences—Informatics and Computer Science: An International Journal
Information Sciences: an International Journal
Relationship between similarity measure and entropy of interval valued fuzzy sets
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
The extension principle and a decomposition of fuzzy sets
Information Sciences: an International Journal
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Information energy is a measure of useful information obtained from a fuzzy set. This paper investigates the information energy change between the original fuzzy set and the image fuzzy set, through the extension principle. Some methods, by which the information energy of the image fuzzy set can be directly obtained without calculating its membership function, are studied. Useful formulas calculating the information energy of the image of the same shape fuzzy numbers are specifically introduced.