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

Volume

1

fYear

1996

fDate

8-11 Sep 1996

Firstpage

707

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.551824

Filename

551824