Title :
Non-singleton fuzzy logic systems
Author :
Mouzouris, George C. ; Mendel, Jerry M.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
In this paper we present a formal derivation of general non-singleton fuzzy logic systems. We show how they can be efficiently computed and give examples for special types of inference and membership functions. We also present analytical comparison of the non-singleton and singleton fuzzy logic systems formulation
Keywords :
fuzzy logic; fuzzy set theory; inference mechanisms; uncertainty handling; data uncertainty; fuzzy set theory; inference; membership functions; nonsingleton fuzzy logic systems; Fuels; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Noise shaping; Optimization methods; Training data; Uncertainty;
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.1994.343742
