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
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;
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
DOI :
10.1109/FUZZY.1994.343850