Fuzzy logics simulation technology in general strategy of intelligent systems designing

Author

Averkin, Alexey

Author_Institution

Comput. Center, Acad. of Sci., Moscow, Russia

fYear

1996

fDate

19-22 Jun 1996

Firstpage

593

Lastpage

597

Abstract

The article suggests a new type of intelligent system based on new approaches to generation and selection of family of fuzzy logics. It is based on a new generalized strategy of designing fuzzy intelligent systems. The family of fuzzy logics can be generated by the T-norms axiomatic system to choose the logic that is the most suitable for an expert way of thinking. The selected fuzzy logic is tested by a simulation model of the inference process in an intelligent system. The designed logic is the input of the inference module of the intelligent system

Keywords

digital simulation; fuzzy logic; fuzzy set theory; inference mechanisms; knowledge engineering; uncertainty handling; T-norms axiomatic system; fuzzy intelligent systems; fuzzy logics; fuzzy logics simulation technology; general strategy; generalized strategy; inference module; inference process; intelligent systems design; simulation model; Algebra; Control systems; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Hardware; Hybrid intelligent systems; Intelligent systems; Logic design;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American

Conference_Location

Berkeley, CA

Print_ISBN

0-7803-3225-3

Type

conf

DOI

10.1109/NAFIPS.1996.534803

Filename

534803