نتایج جستجو برای: defuzzification

تعداد نتایج: 709  

Journal: :Journal of Mathematical Analysis and Applications 2000

Journal: :Advances in Science, Technology and Engineering Systems Journal 2023

Journal: :Statistics, Optimization and Information Computing 2023

This paper deals with fuzzy logic controllers. Our interest is in studying different techniques of defuzzification methods. In particular, we propose a generalization the WABL method to multiple output system controller. We give numerical realization, and show advantages this compared other methods (MOM, COG, WAF,\ldots) through an application for intelligent control air conditioners.

1999
Oscar Cordón Francisco Herrera Antonio Peregrín

In this contribution we plan to characterise fuzzy implication operators based on three basic properties and the defuzzification methods suitable to be used in combination with them. We want to characterise the proper use of implication operators in Fuzzy Rule Based Systems for control problems.

Journal: :international journal of industrial mathematics 0
rahim saneifard department of applied mathematics‎, ‎urmia branch‎, ‎islamic azad university‎, ‎urmia‎, ‎iran.‎‎ rasoul saneifard department of engineering technology‎, ‎texas southern university‎, ‎houston‎, ‎texas‎, ‎usa.

the importance as well as the difficulty of the problem of ranking fuzzy numbers is pointed out. here we consider approaches to the ranking of fuzzy numbers based upon the idea of associating with a fuzzy number a scalar value, its signal/noise ratios, where the signal and the noise are defined as the middle-point and the spread of each $gamma$-cut of a fuzzy number, respectively. we use the va...

Journal: :Int. J. Computational Intelligence Systems 2012
Antonio A. Márquez Francisco Alfredo Márquez Antonio Peregrín

This paper proposes a mechanism that helps improve the interpretability of linguistic fuzzy ruled based systems with common adaptive defuzzification methods. Adaptive defuzzification significantly improves the system accuracy, but introduces weights associated with each rule of the rule base, decreasing the system interpretability. The suggested mechanism is based on three goals: 1) reducing th...

Journal: :Inf. Sci. 2012
Sarah Greenfield Francisco Chiclana Robert Ivor John Simon Coupland

For generalised type-2 fuzzy sets the defuzzification process has historically been slow and inefficient. This has hampered the development of type-2 Fuzzy Inferencing Systems for real applications and therefore no advantage has been taken of the ability of type-2 fuzzy sets to model higher levels of uncertainty. The research reported here provides a novel approach for improving the speed of de...

2012
Youngchoon Kim

This study proposes a mathematical and morphological erosion calculation through defuzzification of the fuzzy set measure corresponding to the fuzzy integral by reducing detecting areas required for matching through areal labeling and filtering and applying the template matching uses edges to the detecting areas. It defines a λ-fuzzy set measure in application and all subsets of defuzzification...

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