Title :
Defuzzification using most typical values
Author :
Kandel, A. ; Friedman, M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
fDate :
12/1/1998 12:00:00 AM
Abstract :
A new approach for the defuzzification process, based on the Most Typical Value (MTV) concept, is being introduced and investigated. It assumes that the single decision, based on the output fuzzy subset, should represent a typical value of this set, rather than a numerical “central tendency” of its elements. The MTV defuzzification method is compared with previous defuzzification procedures and its applicability is illustrated
Keywords :
fuzzy logic; fuzzy set theory; defuzzification; most typical values; output fuzzy subset; Automatic control; Control systems; Feedforward neural networks; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Genetic algorithms; Neural networks;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.735402
