Title :
Dynamic tuning of parameterized defuzzification methods applied to automatic control and diagnosis
Author :
Smith, Michael ; Ulieru, Mihaela
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
Tuning parameterized defuzzification methods by dynamically adjusting parameters values according to dynamic changes in the environment have proven successful in optimizing fuzzy systems. This paper illustrates the techniques involved by discussing examples of dynamically tuning of one type of parameterized defuzzification method, those based on the basic defuzzification distribution (BADD) method. An application of dynamic tuning of parameterized defuzzification in optimizing automatic control and diagnostic systems which use fuzzy reasoning underline the potential offered by this technique in coping with complex tasks
Keywords :
fault diagnosis; fault trees; fuzzy control; fuzzy systems; inference mechanisms; optimal control; tuning; basic defuzzification distribution method; continuous dynamic systems; diagnostic systems; dynamic tuning; fuzzy control; fuzzy fault tree; fuzzy reasoning; fuzzy systems; parameterized defuzzification; Automatic control; Computer science; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Optimization methods; Process control; Switches;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.551824
