Results 191 to 200 of about 18,737 (215)

An Inquiry into the Theory of Defuzzification

2001
Defuzzification is an important operation in the theory of fuzzy sets. It transforms a fuzzy set information into a numeric data information. This operation along with the operation of fuzzification is critical to the design of fuzzy systems as both of these operations provide nexus between the fuzzy set domain and the real valued scalar domain.
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Defuzzification

2022
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Defuzzification

1998
Enric Trillas, Philippe Smets, Enrique Ruspini, George Klir, Bo Yuan, Francesc Esteva, Sergei Ovchinnikov, Ronald Yager, Michel Grabisch, Daniel Schwartz, Bernadette Bouchon-Meunier, Piero Bonissone, Raghu Krishnapuram, Witold Pedrycz, M Delgado, M Vila, Didier Dubois, Henri Prade, Dionis Boixader, Lluis Godo, Masaharu Mizumoto, Masaharu Mizumoto   +21 more
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Defuzzification

2019
Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato   +2 more
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Defuzzification

2020
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Kernel Based Defuzzification

2013
Defuzzification converts a fuzzy set to a crisp value or set. Standard defuzzification methods are the center of gravity (COG) and the mean of maxima (MOM). A popular parametric defuzzification method is based on the basic defuzzification distribution (BADD).
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Defuzzification

2007
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Selection of appropriate defuzzification methods using application specific properties

IEEE Transactions on Fuzzy Systems, 1997
Thomas A Runkler
exaly  

Alpha-cut representation used for defuzzification in rule-based systems

Fuzzy Sets and Systems, 2020
Amir Pourabdollah, Jerry M Mendel, Robert John   +2 more
exaly  

A new definition for defuzzification of generalized fuzzy numbers and its application

Applied Soft Computing Journal, 2015
Abdorreza Panahi
exaly