Fuzzy operator logic and fuzzy resolution |
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Authors: | Thomas J. Weigert Jing-Pha Tsai Xuhua Liu |
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Affiliation: | (1) Research Institute for Symbolic Computation, Johannes Kepler University, 4040 Linz, Austria;(2) Department of Electrical Engineering and Computer Science, University of Illinois at Chicago, 60680 Chicago, IL, U.S.A.;(3) Department of Computer Science, Jilin University, Changchun, P.R. of China |
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Abstract: | There have been only few attempts to extend fuzzy logic to automated theorem proving. In particular, the applicability of the resolution principle to fuzzy logic has been little examined. The approaches that have been suggested in the literature, however, have made some semantic assumptions which resulted in limitations and inflexibilities of the inference mechanism. In this paper we present a new approach to fuzzy logic and reasoning under uncertainty using the resolution principle based on a new operator, the fuzzy operator. We present the fuzzy resolution principle for this logic and show its completeness as an inference rule. |
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Keywords: | Fuzzy logic fuzzy resolution knowledge representation uncertainty reasoning |
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