Title :
Simplified architecture of a fuzzy inference processor
Author :
Ho, J.S. ; Lim, M.H. ; Lau, K.T.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
The authors show that by treating the inputs of a fuzzy system as fuzzy singletons, the architecture of a fuzzy inference processor (FIP) can be simplified significantly. The design can be implemented using mainly min/max functional blocks and presettable counters. The inference speed of the FIP is improved significantly and is potentially useful for real-time applications of fuzzy reasoning
Keywords :
computer architecture; firmware; fuzzy logic; inference mechanisms; uncertainty handling; fuzzy inference processor; fuzzy reasoning; fuzzy singletons; inference speed; min/max functional blocks; presettable counters; real-time applications; simplified architecture; Artificial intelligence; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hardware; Hybrid intelligent systems; Tin; Tires;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-4260-2
DOI :
10.1109/ANNES.1993.323061
