General entropy of general measures
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
An axiomatic approach to the definition of the entropy of a discrete Choquet capacity
Information Sciences—Informatics and Computer Science: An International Journal
Short communication: Uncertainty measures for fuzzy relations and their applications
Applied Soft Computing
Computers & Mathematics with Applications
Maximum entropy membership functions for discrete fuzzy variables
Information Sciences: an International Journal
The dominance concept of Dempster-Shafer (D-S) belief structure in the modeling decisions
ECC'09 Proceedings of the 3rd international conference on European computing conference
An axiomatic approach to the definition of the entropy of a discrete Choquet capacity
Information Sciences: an International Journal
An uncertainty interchange format with imprecise probabilities
International Journal of Approximate Reasoning
Criteria satisfaction under measure based uncertainty
Fuzzy Optimization and Decision Making
Temporalized Dempster-Shafer belief structure in discrimination analysis
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Modeling decision in the dempster-shafer belief structure uncertainty
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
Entropy of capacities on lattices and set systems
Information Sciences: an International Journal
Measures of assurance and opportunity in modeling uncertain information
International Journal of Intelligent Systems
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Fuzzy measures provides a structure for modeling the knowledge available about variables whose values are unknown and uncertain. A large class of different types of uncertainty can be represented in this framework. In this work, we provide a measure of entropy that can be used to calculate the amount of uncertainty associated with a fuzzy measure