Results 241 to 250 of about 975,479 (295)

Why Cauchy Membership Functions: Reliability

Advances in Artificial Intelligence and Machine Learning, 2022
An 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, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca Ralescu   +4 more
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Incremental Membership Function Updates

2010
Many 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, Imen Derbel, Habib Ounelli   +2 more
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Why triangular membership functions?

Fuzzy Sets and Systems, 1994
Abstract In this note we look at a certain theoretically sound motivation behind the common use of triangular (and trapezoidal) membership functions. The studies are completed within a conceptual framework of fuzzy modelling whose structure comprises of input and output interfaces linked with a single transformation module aimed at processing ...
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Combining belief functions and fuzzy membership functions

SPIE Proceedings, 2003
In several practical applications of data fusion and more precisely in object identification problems, we need to combine imperfect information coming from different sources (sensors, humans, etc.), the resulting uncertainty being naturally of different kinds.
Mihai C. Florea, Anne-Laure Jousselme, Dominic Grenier, Eloi Bosse   +3 more
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Membership Functions Generation Based on Density Function

2008 International Conference on Computational Intelligence and Security, 2008
Fuzzy 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, Narjes Hachani, Habib Ounelli   +2 more
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Construction of differentiable membership functions

Fuzzy Sets and Systems, 1999
In 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.
Grauel, A., Ludwig, L. A.
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Defining Membership Functions

2000
The chapter presents basic concepts and methods used in defining membership functions of fuzzy sets. Usual problems of fuzzy set applications connected with the universe of discourse, shape, and accuracy of membership functions as well as with their acquisition are discussed.
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Scaling the membership function

European Journal of Operational Research, 1986
This paper contains an axiomatic treatment of the measurement of the fuzzy set membership function based on the measurement methodology of the Analytic Hierarchy Process (AHP). The set of axioms corresponding to hierarchic structures are a special case of axioms for priority setting in systems with feedback which allow for a wide class of dependencies.
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About membership functions estimation

Fuzzy Sets and Systems, 1981
Abstract A logical approach to fuzzy sets method originated by Giles is developed. The infinitely many-valued logic tω is taken as basic. We accept, it is correct to use the strong conjunction by the logical analysis of the summation of fuzzy items. Under some broad conditions it is proved.
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BiCMOS tunable membership function circuits

International Journal of Electronics, 1993
An MOS transconductance amplifier and bipolar current gain cell structure were investigated. The large input voltage range of the MOS transconductance is preserved, while the gain in the bipolar cell is linearly current controlled. These features make the structure suitable for tunable membership function circuits (MFCs) in a fuzzy controller.
ION E. OPRIS, FLORINEL BALTEANU
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