DocumentCode
3268314
Title
Two new defuzzification techniques
Author
Brubaker, David I.
Author_Institution
The Huntington Group, Menlo Park, CA, USA
fYear
1993
fDate
28-30 Sep 1993
Firstpage
455
Lastpage
459
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;
fLanguage
English
Publisher
ieee
Conference_Titel
WESCON/'93. Conference Record,
Conference_Location
San Francisco, CA
ISSN
1095-791X
Print_ISBN
0-7803-9970-6
Type
conf
DOI
10.1109/WESCON.1993.488477
Filename
488477
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