Efficient method for multidimensional fuzzy reasoning and its application to fault diagnosis

Author

Hayashi, Yoichi ; Nakai, Masato

Author_Institution

Dept. of Inf. Sci., Ibaraki Univ., Japan

fYear

1988

fDate

25-27 May 1988

Firstpage

27

Lastpage

32

Abstract

The authors propose a fast and simple method for multidimensional fuzzy reasoning and present diagnostic techniques using multidimensional fuzzy reasoning. The reasoning is based on the iterative use of fuzzy modus ponens and fuzzy modus tollens. The present method chooses only one multidimensional implication among all combinations of multidimensional implications, so that the antecedent of the multidimensional implication selected is as close to the multidimensional premise given as possible. The number of applications of one-dimensional implication is substantially fewer than that of M. Sugeno and T. Takagi´s (1983) method. It is concluded that multidimensional fuzzy reasoning can be applied to failure prevention and diagnosis of complex industrial situations such as nuclear power plants in which human factors play an important role.<>

Keywords

artificial intelligence; computational complexity; fault location; fuzzy logic; complex industrial situations; diagnostic techniques; failure prevention; fault diagnosis; fuzzy modus ponens; fuzzy modus tollens; human factors; iterative use; multidimensional fuzzy reasoning; nuclear power plants; one-dimensional implication; Accidents; Automatic control; Computational complexity; Fault diagnosis; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Humans; Multidimensional systems; Production;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on

Conference_Location

Hitachi City, Japan

Type

conf

DOI

10.1109/AIIA.1988.13265

Filename

13265