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