Interpolation of fuzzy knowledge: a model of human reasoning

Author

Kóczy, Lászlo T.

Author_Institution

Dept. of Telecommun. & Telematics, Tech. Univ. Budapest, Hungary

Volume

3

fYear

1997

fDate

12-15 Oct 1997

Firstpage

2957

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.635446

Filename

635446