Affiliation:
1. Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R. O. C.
Abstract
This paper presents an efficient algorithm to deal with inexact reasoning, where fuzzy production rules are used for knowledge representation and these rules are represented by an augmented fuzzy rule matrix F. The algorithm performs inexact reasoning via repeated transformations of augmented truth state vectors by the transitive closure Q of the augmented fuzzy rule matrix F. Given the truth values of some conditions, the algorithm can perform inexact reasoning to evaluate the truth values of other conditions automatically. The time complexity of the algorithm is 0(k(m+k)2), where m is the number of conditions and k is the number of compound conditions appearing in the antecedent portion of the fuzzy production rules.
Publisher
World Scientific Pub Co Pte Lt
Subject
Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software
Cited by
5 articles.
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