Title :
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
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;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552313
