Title :
Incorporating fuzzy sets in intelligent distributed systems
Author :
Nakamiti, G. ; Gomide, F.
Author_Institution :
DEMAC IGCE UNESP, Rio Claro, Brazil
Abstract :
The incorporation of fuzzy set concepts into intelligent distributed systems increases their flexibility and adaptability when uncertain information must be handled. Therefore, a wider class of complex real-world problems can be tackled. The emphasis of this paper is on a distributed traffic-light control system built upon a fuzzy distributed architecture. Simulation results considering a section of the downtown area of Campinas are included. The performance of the proposed system, when compared to conventional strategies, is also shown to demonstrate its effectiveness
Keywords :
cooperative systems; distributed control; fuzzy control; fuzzy set theory; intelligent control; performance evaluation; road traffic; traffic control; uncertainty handling; Campinas, Brazil; distributed artificial intelligence; distributed traffic-light control system; downtown area; fuzzy distributed architecture; fuzzy sets; intelligent distributed systems; performance; simulation; systems adaptability; systems flexibility; uncertain information; Artificial intelligence; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Intelligent control; Intelligent systems; Traffic control; Uncertainty;
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
DOI :
10.1109/NAFIPS.1996.534773