Title :
Interpolation of fuzzy knowledge: a model of human reasoning
Author :
Kóczy, Lászlo T.
Author_Institution :
Dept. of Telecommun. & Telematics, Tech. Univ. Budapest, Hungary
Abstract :
The paper discusses the evolution of fuzzy rule based models applicable to modeling very complex systems, and starting with “classic” symbolic logic based expert controllers/ reasoning systems, going through Zadeh- and Mamdani-style fuzzy models, and continued by the family of rule interpolation based fuzzy systems including hierarchically structured interpolative models
Keywords :
computational complexity; expert systems; fuzzy logic; fuzzy set theory; fuzzy systems; inference mechanisms; interpolation; knowledge based systems; large-scale systems; Mamdani-style fuzzy models; Zadeh-style fuzzy models; classic symbolic logic based expert controllers; complex systems; fuzzy knowledge; fuzzy rule based models; hierarchically structured interpolative models; human reasoning model; rule interpolation based fuzzy systems; symbolic logic based expert reasoning systems; Artificial intelligence; Computational complexity; Control systems; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Humans; Interpolation; Telematics;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.635446
