Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
Some results on generalized residual entropy
Information Sciences: an International Journal
Uncertainty representation using fuzzy measures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A quantitative-qualitative measure of information in cybernetic systems (Corresp.)
IEEE Transactions on Information Theory
A note on information entropy measures for vague sets and its applications
Information Sciences: an International Journal
Simulation of fuzzy random variables
Information Sciences: an International Journal
Maximum entropy membership functions for discrete fuzzy variables
Information Sciences: an International Journal
Discussion on new integral entropy and energy of fuzzy sets
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Feature selection using fuzzy entropy measures with similarity classifier
Expert Systems with Applications: An International Journal
The relationship between similarity measure and entropy of intuitionistic fuzzy sets
Information Sciences: an International Journal
Hesitant fuzzy entropy and cross-entropy and their use in multiattribute decision-making
International Journal of Intelligent Systems
Radar emitter signal recognition based on sample entropy and fuzzy entropy
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
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Keeping in view the non-probabilistic nature of experiments, two new measures of weighted fuzzy entropy have been introduced and to check their authenticity, the essential properties of these measures have been studied. Under the fact that measures of entropy can be used for the study of optimization principles when certain partial information is available, we have applied the existing as well as the newly introduced weighted measures of fuzzy entropy to study the maximum entropy principle.