Title :
A unifying approach to defuzzification and comparison of the outputs of fuzzy controllers
Author_Institution :
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Lebanon
fDate :
8/1/1996 12:00:00 AM
Abstract :
This paper addresses the defuzzification of the fuzzy set outputs of fuzzy controllers from a comparison or ranking perspective. This is done by emphasizing the fuzzy controller as a decision-making system. Based on the extensive study and justification of the fuzzy-set comparison criteria that were developed and published elsewhere by the author, a ranking and, thus, a defuzzification index is introduced. This index is shown to overcome the disadvantages of the commonly used defuzzification methods whose attempted justifications based on probabilistic arguments have not been successful. In addition, the proposed index is based on the generalization of the Hurwicz criterion that is usually adopted in decision making under nonprobabilistic uncertainty and it encompasses the pessimistic maximin and the optimistic maximax criteria as special cases
Keywords :
fuzzy control; fuzzy logic; fuzzy set theory; minimax techniques; performance index; Hurwicz criterion; decision-making system; defuzzification; fuzzy controllers; fuzzy set theory; maximax criteria; maximin criteria; ranking index; Artificial intelligence; Control systems; Decision making; Expert systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Power system modeling; Systems engineering and theory; Uncertainty;
Journal_Title :
Fuzzy Systems, IEEE Transactions on