DocumentCode
3155866
Title
Extended defuzzification methods and their properties
Author
Runkler, Thomas A.
Author_Institution
Corp. Res. & Dev., Siemens AG, Munich, Germany
Volume
1
fYear
1996
fDate
8-11 Sep 1996
Firstpage
694
Abstract
Defuzzification is the selection of a significant crisp value with respect to a fuzzy set. Many applications use the standard defuzzification methods, the center of gravity or mean of maxima, to generate crisp output. These standard methods fail in some applications. In these cases, extended defuzzification methods offer an opportunity to improve the system behavior. Some extended defuzzification methods are presented, and their properties are investigated showing their advantages and preferred application fields
Keywords
approximation theory; decision theory; fuzzy set theory; fuzzy systems; graph theory; centre of area; centroid approximation; compatibility; constraint decision defuzzification; defuzzification; fuzzy set theory; graphical analysis; histograms; membership function mapping; parametric method; section invariance; Accidents; Fuzzy control; Fuzzy sets; Fuzzy systems; Gravity; Histograms; Knowledge based systems; Message-oriented middleware; Mobile robots; Remotely operated vehicles;
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.1996.551822
Filename
551822
Link To Document