Results 151 to 160 of about 5,901 (210)

An Explainable Fuzzy Framework for Assessing Preeclampsia Classification. [PDF]

Biomedicines
Salinas M, Velandia D, Mayeta-Revilla L, Bertini A, Querales M, Pardo F, Salas R.   +6 more
europepmc   +1 more source

Federated Learning Based on Fuzzy Fusion Rules for Chemical Production Process Fault Diagnosis. [PDF]

Sensors (Basel)
Xu Y, Yang W, Du S, Zhang M.
europepmc   +1 more source

Preset-Time Convergence Fuzzy Zeroing Neural Network for Chaotic System Synchronization: FPGA Validation and Secure Communication Applications. [PDF]

Sensors (Basel)
Xiao L, Zhao L, Jin J.
europepmc   +1 more source

Virtual parking path planning in narrow roads based on fuzzy pure pursuit algorithm. [PDF]

PLoS One
Men Q, Wang Y, Cheng G, Zhang Z, Zhu X, Zhou H.   +5 more
europepmc   +1 more source

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
openaire   +4 more sources

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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, Etienne E. Kerre
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
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 Yager
exaly   +2 more sources

THE RADIAL DEFUZZIFICATION

International Journal of General Systems, 1999
Abstract Defuzzification is a problem of optimal selection of an element from a fuzzy set. Recently, we were able to show how neighboring elements can influence and contribute to make a better selection. In this paper we propose a method of defuzzification that uses the interactions among neighboring elements and the selective transformation.
SHOUNAK ROYCHOWDHURY, BO-HYEUN WANG, SEUNG-KWON AHN   +2 more
exaly   +2 more sources

Fuzzy tests – defuzzification and randomization

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