Title :
Cartesian representation for fuzzy interpolation
Author :
Yam, Yeung ; Kóczy, László T.
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Abstract :
The paper calls for representing membership functions as points in Cartesian spaces to effect fuzzy interpolation of a sparse rule base, using the positions of the characteristic points as coordinates. As such, a fuzzy rule base is converted to become a mapping between antecedent and consequent spaces, and the interpolation problem to finding an image in the consequent space for the given antecedent observation
Keywords :
approximation theory; fuzzy logic; fuzzy set theory; inference mechanisms; interpolation; Cartesian representation; Cartesian spaces; antecedent spaces; consequent spaces; fuzzy interpolation; membership functions; sparse rule base; Automation; Bismuth; Embedded computing; Image converters; Interpolation; Marine vehicles; Solids; Telematics;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.757926
