Results 211 to 220 of about 119,067 (262)
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2005
An efficient method for learning membership functions for fuzzy predicates is presented. Positive and negative examples of one class are given together with a system of classification rules. The learned membership functions can be used for the fuzzy predicates occurring in the given rules to classify further examples.
Bergadano F, CUTELLO, Vincenzo
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An efficient method for learning membership functions for fuzzy predicates is presented. Positive and negative examples of one class are given together with a system of classification rules. The learned membership functions can be used for the fuzzy predicates occurring in the given rules to classify further examples.
Bergadano F, CUTELLO, Vincenzo
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Construction of differentiable membership functions
Fuzzy Sets and Systems, 1999In many applications of fuzzy controller it is essential to have a smooth transfer function. Therefore it is desirable to form smooth membership functions with only few parameters. The authors propose a class of symmetrical and asymmetrical membership functions of exponential type.
Adolf Grauel, Lars A. Ludwig
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Representing membership functions as elements in function space
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001This paper generalizes the geometric representation of membership functions comprising a finite number of characteristic points. An extended class of membership functions, satisfying certain monotonicity conditions, can now be expressed as elements in the space of square integrable functions.
Man Lung Wong, Yeung Yam, Péter Baranyi
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Membership Functions Generation Based on Density Function
2008 International Conference on Computational Intelligence and Security, 2008Fuzzy membership functions are considered as a key element in fuzzy systems. In order to generate a fuzzy membership function, there are two potential sources: expert knowledge and real data. However expert knowledge acquisition is a difficult issue, on the other hand using real data needs a methodology to translate real data to membership function ...
Imen Derbel +2 more
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A new membership function approach to uncertain functions
Fuzzy Sets and Systems, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Incremental Membership Function Updates
2010Many fuzzy applications today are based on large databases that change dynamically. Particularly, in many flexible querying systems this represents a huge problem, since changing data may lead to poor results in the absence of proper retraining. In this paper we propose a novel incremental approach to represent the membership functions describing the ...
Narjes Hachani +2 more
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A stochastic interpretation of membership functions
Automatica, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Why Cauchy Membership Functions: Reliability
Advances in Artificial Intelligence and Machine Learning, 2022An important step in designing a fuzzy system is the elicitation of the membership functions for the fuzzy sets used. Often the membership functions are obtained from data in a traininglike manner. They are expected to match or be at least compatible with those obtained from experts knowledgeable of the domain and the problem being addressed.
Javier Viaña +4 more
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Analytically derived fuzzy membership functions
Cluster Computing, 2017The numerical algorithms typically used for determining the fuzzy membership functions are iterative, might face convergence issues, and lack in the mathematical theory. This study suggests an analytical approach to the determination of fuzzy membership functions via variational optimization.
Weiping Zhang 0001 +4 more
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Membership function as an evaluation
Fuzzy Sets and Systems, 1990This paper is devoted to the membership functions of fuzzy sets. First, the author presents different kinds of mathematical forms of the membership functions. Next, he extracts the different demands and determines the rational class of membership functions. Finally, he shows the connections between evaluation operators and membership functions.
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