Fuzzy decision support system “FUZZY-FLOU” operating uncertain knowledge

Author

Balazinski, M. ; Czogala, E. ; Drwa, G. ; Mrózek, M.

Author_Institution

Dept. of Mech. Eng., Ecole Polytech. de Montreal, Que., Canada

Volume

2

fYear

1996

fDate

8-11 Sep 1996

Firstpage

991

Abstract

A fuzzy decision support system FUZZY-FLOU has been described in this paper. The compositional rule of inference constitutes a basis of a reasoning method which handles uncertain (imprecise) knowledge, whereas certainty factors are introduced to deal with uncertainly inherent in knowledge. The system was designed as a typical knowledge based system consisting of three main parts: knowledge base, inference engine and user interface. Such an architecture makes it possible to implement the system in an object-oriented environment

Keywords

decision support systems; fuzzy logic; fuzzy systems; inference mechanisms; knowledge based systems; object-oriented programming; uncertainty handling; FUZZY-FLOU; certainty factors; compositional rule; fuzzy decision support system; inference; inference engine; knowledge base; knowledge based system; object-oriented environment; reasoning method; uncertain knowledge; user interface; Decision support systems; Engines; Fuzzy reasoning; Fuzzy set theory; Fuzzy systems; Knowledge based systems; Knowledge representation; MIMO; Mechanical engineering; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.552313

Filename

552313