Results 161 to 170 of about 7,859 (213)

Cooperative neighbors in defuzzification

Fuzzy Sets and Systems, 1996
Abstract Defuzzification is a problem of optimized selection of an element from a fuzzy set. It is in fact an optimization problem, optimization with respect to the whole system under consideration. We believe that neighbors can contribute and make a better selection in the process of defuzzification.
Shounak Roychowdhury, Bo-Hyeun Wang
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Defuzzification using Steiner points

Fuzzy Sets and Systems, 2006
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Vetterlein, Thomas, Navara, Mirko
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Defuzzification with Constraints

1995
We look at the problem of defuzzification in situations where in addition to the usual fuzzy output of the controller there exists some ancillary restriction on the allowable defuzzified values. We provide two basic approaches to address this problem. In the first approach we enforce the restriction by selecting the defuzzified value through a random ...
Ronald R. Yager, Dimitar P. Filev
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Defuzzification under Constraints and Forbidden Zones

Kybernetes, 1994
Examines the problem of fuzzification in situations in which in addition to the usual fuzzy output of the controller there exists some ancillary restriction on the allowable defuzzified values. Provides two basic approaches to address this problem.
Yager, Ronald R., Filev, Dimitar P.
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DEFUZZIFICATION WITHIN A MULTICRITERIA DECISION MODEL

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003
In many cases, criterion values are crisp in nature, and their values are determined by economic instruments, mathematical models, and/or by engineering measurement. However, there are situations when the evaluation of alternatives must include the imprecision of established criteria, and the development of a fuzzy multicriteria decision model is ...
Opricovic, Serafim, Tzeng, Gwo-Hshiung
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A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis

Applied Soft Computing, 2019
In general the power quality diagnosis of low-voltage electrical systems is a difficult issue due to the nuances of different power quality standards around the world and the uncertainties characteristics of the evaluation parameters.
Diego H.S. Nolasco, E. Palmeira, F. Costa   +2 more
semanticscholar   +1 more source

Defuzzification of fuzzy intervals

Fuzzy Sets and Systems, 1991
Studied is the problem of transformation (defuzzification) of a fuzzy set (fuzzy interval) defined in \(\mathbb{R}\) into its numerical representative. Three commonly used methods being investigated in the paper are: mean of maxima (MOM), centre-of area (COA) and fuzzy mean (FM). Consider \(A: \mathbb{R}\to[0,1]\). The MOM method selects an element in \
Zhao, Renhong, Govind, Rakesh
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Knowledge-based defuzzification

Fuzzy Sets and Systems, 1996
Abstract We suggest a new approach to the problem of defuzzification. This approach is a knowledge-based approach in that it uses knowledge in terms of combinability function to help to more intelligently guide the defuzzification process. This approach makes use of a view of the defuzzification process as a kind of clustering problem and uses the ...
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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
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Defuzzification in Fuzzy Controllers

Journal of Intelligent & Fuzzy Systems, 1993
An important subject in fuzzy control theory is tuning of a fuzzy controller. If one wants to tune a fuzzy controller, one can focus on the choice of rules, membership functions, number of input and output fuzzy sets and their degree of overlapping, implication, and connection operations, and defuzzification method.
Hellendoorn, Hans, Thomas, Christoph
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