DocumentCode
2274966
Title
Linearity and the cnf property in linear fuzzy rule interpolation
Author
Kóczy, László T. ; Kovács, Szilveszter
Author_Institution
Dept. of Syst. Sci., Tokyo Inst. of Technol., Japan
fYear
1994
fDate
26-29 Jun 1994
Firstpage
870
Abstract
It is an important question if rule interpolation is done whether the theoretical shape of the membership function of the calculated conclusion is exactly or approximately linear between two neighboring α-levels in the breakpoint set, or it has a very different shape. In the latter case, interpolation for only a few (as e.g. 0 and 1) levels is not satisfactory, which fact might increase the computational time necessary for generating the conclusion by a large constant factor. It is also examined if the conclusion has a convex and normal membership function, i.e. whether the calculated infima exceed the calculated suprema of the given α-cut or not
Keywords
fuzzy logic; fuzzy set theory; interpolation; α-cut; α-levels; breakpoint set; cnf property; linear fuzzy rule interpolation; linearity; membership function; Cloning; Equations; Fuzzy control; Fuzzy reasoning; Fuzzy set theory; Fuzzy systems; Interpolation; Linearity; Real time systems; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343850
Filename
343850
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