Results 151 to 160 of about 18,737 (215)

Evaluating athletic mental energy analysis: a novel approach using fuzzy-based Bayesian networks. [PDF]

BMC Sports Sci Med Rehabil
Yildiz Y, Gülşen DBA, Sevilmiş U, Öztürk OB.   +3 more
europepmc   +1 more source

Fault Point Search with Obstacle Avoidance for Machinery Diagnostic Robots Using Hierarchical Fuzzy Logic Control. [PDF]

Sensors (Basel)
Mu R, Ikeura R, Xue H, Zhao C, Chen P.
europepmc   +1 more source

Design of a Hierarchical Control Architecture for Fully-Driven Multi-Fingered Dexterous Hand. [PDF]

Biomimetics (Basel)
Jin Y, Wang H, Ge H, Bao G.
europepmc   +1 more source

Role of human collaboration in artificial intelligence with fuzzy based mathematical models and decision making problems. [PDF]

Sci Rep
Wang J.
europepmc   +1 more source

Methodological Aspects of Welded Joint Quality Assessment. [PDF]

Materials (Basel)
Muślewski Ł, Pająk M.
europepmc   +1 more source

A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages. [PDF]

Heliyon
Aziz A, Suzon MM, Hasan R.
europepmc   +1 more source

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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   +3 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