Results 191 to 200 of about 6,233 (217)

Combinability functions in defuzzification

Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society, 2002
We overview various knowledge-based defuzzification functions from a system modeling and controls perspective, and introduce a new variant which is useful in applications where fuzzy variables are related to deviations from a norm, such as feedback control. We also summarize results of simulation experiments.
D. Swiatlowski, C. Isik
openaire   +1 more source

Central values of fuzzy numbers—defuzzification

Information Sciences, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Fuzzy control and defuzzification

Mechatronics, 1995
For two example systems, controlled by either a linear controller or one of five fuzzy controllers (with different defuzzification procedures), responses to step functions are presented in time and in frequency space to qualitatively judge and select the most appropriate defuzzification procedure.
openaire   +1 more source

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.
openaire   +1 more source

Defuzzification

2022
openaire   +1 more source

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
openaire   +1 more source

Defuzzification

2019
Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato   +2 more
openaire   +1 more source

Defuzzification

2020
openaire   +1 more source

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).
openaire   +1 more source

Selection of Appropriate Defuzzification Methods Using Application Specific Properties

IEEE Transactions on Fuzzy Systems, 1997
T A Runkler
exaly