Results 191 to 200 of about 7,859 (213)

Non-translation-invariant defuzzification

Proceedings of 6th International Fuzzy Systems Conference, 2002
Conventional fuzzy controllers are employed for the purpose of designing nonlinear key field controllers. Fuzzy control methods utilise existing qualitative know-how or experience to find favourable key field controllers. However, some empirical knowledge cannot be processed adequately employing known fuzzy controllers.
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Central values of fuzzy numbers—defuzzification

Information Sciences, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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New control algorithm and defuzzification

2009 3rd International Workshop on Soft Computing Applications, 2009
Fuzzy defuzzification is one of the most important part of the fuzzy control. Several approaches exist. Mamdani uses the a-cuts and builds the union of the membership function. The resulted function is the starting point of the defuzzification process. In this article we define more natural way to get the membership function by using fuzzy arithmetics.
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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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Partial Defuzzification of Fuzzy Clusters

2002
Two methods of partial defuzzification of fuzzy clusters in a fuzzy k-partition are proposed. The first method is based on sharpening of fuzzy clusters with respect to the threshold 1/k. Sharpening is accomplished by application of the generalized operator of contrast intensification of fuzzy sets to k — 1 fuzzy clusters. The second method utilizes the
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Defuzzification

2019
Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato   +2 more
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A novel defuzzification method of SV-trapezoidal neutrosophic numbers and multi-attribute decision making: a comparative analysis

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2019
Irfan Deli
semanticscholar   +1 more source

Membership Functions, Fuzzification and Defuzzification

2000
Fuzzy membership functions represent similarities of objects to ambiguous properties. All the information represented by a fuzzy set is contained within the membership function. This chapter summaries some methods to develop membership functions, briefly discusses the process of fuzzification (making crisp sets into fuzzy sets), and illustrates a few ...
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Defuzzification and application of trapezoidal type-2 fuzzy variables to green solid transportation problem

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2018
Amrit Das, U. Bera, M. Maiti
semanticscholar   +1 more source