DocumentCode :
2273466
Title :
Possibilistic evidential reasoning systems on systolic arrays
Author :
Mohiddin, S.M. ; Atiquzzaman, M. ; Dillon, T.S.
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, Vic., Australia
fYear :
1994
fDate :
26-29 Jun 1994
Firstpage :
112
Abstract :
Suggests a systolic array implementation of fuzzy expert systems based on possibilistic evidential reasoning methodology. Evidential reasoning systems are computationally-bounded in general, and fuzzy systems match a larger number of rules than in a simple symbolic reasoning system. The proposed possibilistic evidential system, which is a combination of both types of system, needs much more computation time than either of these two independently. To speed up the processing in such systems, the suggested implementation is useful
Keywords :
case-based reasoning; computational complexity; expert systems; fuzzy logic; fuzzy systems; possibility theory; probabilistic logic; systolic arrays; computation time; computationally-bounded systems; fuzzy expert systems; possibilistic evidential reasoning; processing speedup; rule matching; symbolic reasoning system; systolic arrays; Australia; Computer architecture; Computer science; Distributed computing; Expert systems; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Systolic arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
Type :
conf
DOI :
10.1109/FUZZY.1994.343708
Filename :
343708
Link To Document :
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