Title :
Two new defuzzification techniques
Author :
Brubaker, David I.
Author_Institution :
The Huntington Group, Menlo Park, CA, USA
Abstract :
The term defuzzification in a fuzzy rule-base system refers to the transforming of an action designated in fuzzy terms by the rule-base into a crisp value that can be executed. This paper discusses briefly the three currently most popular defuzzification techniques-the maximizer, centroid and singleton-with their strengths and shortcomings, and then introduces two new techniques, one quite general, and the other specific to relatively small, embedded systems
Keywords :
fuzzy set theory; fuzzy systems; interpolation; knowledge based systems; centroid; crisp value; defuzzification; embedded systems; fuzzy rule-base system; interpolation; maximizer; singleton; Embedded system; Fires; Fuzzy systems; Marine vehicles; Shape;
Conference_Titel :
WESCON/'93. Conference Record,
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-9970-6
DOI :
10.1109/WESCON.1993.488477
