Title :
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
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;
Conference_Titel :
Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
Conference_Location :
Hitachi City, Japan
DOI :
10.1109/AIIA.1988.13265
