Results 161 to 170 of about 6,233 (217)

SEARCHING FOR MEANING ON DEFUZZIFICATION

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1999
Defuzzification is an essential problem in fuzzy systems that it is always solved in a heuristic way. The aim of this work is to give a semantic interpretation to this process with the help of indistinguishability operators.
Recasens Ferrés, Jorge, Boixader Ibáñez, Dionís, Jacas Moral, Juan   +2 more
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Defuzzification: Criteria and Classification

Fuzzy Sets and Systems, 1999
The paper is devoted to the evaluation of various defuzzification methods encountered in the existing literature. By defuzzification we mean a transformation of a fuzzy set into its numeric representative. General evaluation criteria are outlined (including core selection, scale invariance, monotony, triangular conorm criterion, continuity as well as ...
Werner van Leekwijck
exaly   +2 more sources

A New Approach for Defuzzification

Fuzzy Sets and Systems, 2000
The concept of the symmetric triangular fuzzy number is used and a new approach to defuzzify a general fuzzy quantity is introduced. The basic idea of the new method is to obtain the ``nearest'' symmetric triangular fuzzy number which a fuzzy quantity is related to.
Menahem Friedman, Abraham Kandel
exaly   +4 more sources

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 ...
Ronald R. Yager
exaly   +2 more sources

Fuzzy Tests – Defuzzification and Randomization

Fuzzy Sets and Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Przemysław Grzegorzewski
exaly   +2 more sources

Defuzzification Techniques for Fuzzy Controllers

IEEE Transactions on Systems, Man, and Cybernetics, 2000
Based on the features and disadvantages of the commonly used defuzzification techniques and on the elements involved in the structure of a fuzzy controller, a new and advantageous defuzzification technique is introduced and justified. This is done by integrating the defuzzification problem into the global structure of fuzzy controllers. Another related
Jean J. Saade, Hassan B. Diab
exaly   +4 more sources

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 \
Rakesh Govind
exaly   +3 more sources

Type Reduction Operators for Interval Type–2 Defuzzification [PDF]

Information Sciences, 2018
Fuzzy sets are an important approach to model uncertainty. Defuzzification maps fuzzy sets to non–fuzzy (crisp) values. Type–2 fuzzy sets model uncertainty in the degree of membership in a fuzzy set.
Chao Chen, Robert I John, Thomas Runkler
exaly   +2 more sources

On a class of defuzzification functionals

2008 International Multiconference on Computer Science and Information Technology, 2008
Classical convex fuzzy numbers have many disadvantages. The main one is that every operation on this type of fuzzy numbers induces the growing fuzziness level. Another drawback is that the arithmetic operations defined for them are not complementary, for instance: addition and subtraction. Therefore the first author (W.
Witold Kosinski, Wieslaw Piasecki
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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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