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The Paradoxical Success of Fuzzy Logic
 IEEE Expert
, 1993
"... Applications of fuzzy logic in heuristic control have been highly successful, but which aspects of fuzzy logic are essential to its practical usefulness? This paper shows that an apparently reasonable version of fuzzy logic collapses mathematically to twovalued logic. Moreover, there are few if any ..."
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Cited by 84 (1 self)
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Applications of fuzzy logic in heuristic control have been highly successful, but which aspects of fuzzy logic are essential to its practical usefulness? This paper shows that an apparently reasonable version of fuzzy logic collapses mathematically to twovalued logic. Moreover, there are few if any published reports of expert systems in realworld use that reason about uncertainty using fuzzy logic. It appears that the limitations of fuzzy logic have not been detrimental in control applications because current fuzzy controllers are far simpler than other knowledgebased systems. In the future, the technical limitations of fuzzy logic can be expected to become important in practice, and work on fuzzy controllers will also encounter several problems of scale already known for other knowledgebased systems. 1
Lexical Imprecision in Fuzzy Constraint Networks
 In Proceedings of AAAI92
, 1992
"... We define fuzzy constraint networks and prove a theorem about their relationship to fuzzy logic. Then we introduce Khayyam, a fuzzy constraintbased programming language in which any sentence in the firstorder fuzzy predicate calculus is a wellformed constraint statement. Finally, using Khayyam to ..."
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Cited by 10 (4 self)
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We define fuzzy constraint networks and prove a theorem about their relationship to fuzzy logic. Then we introduce Khayyam, a fuzzy constraintbased programming language in which any sentence in the firstorder fuzzy predicate calculus is a wellformed constraint statement. Finally, using Khayyam to address an equipment selection application, we illustrate the expressive power of fuzzy constraintbased languages.
Implementing Uncertainty in a Logic Programming Framework
"... Abstract. We briefly outline the need to incorporate uncertainty and flexibility into the semantic web knowledge representation, and argue that support logic programming a combination of soft computing and logic programming – is one way to address this problem. To retain consistency with emerging f ..."
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Cited by 1 (0 self)
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Abstract. We briefly outline the need to incorporate uncertainty and flexibility into the semantic web knowledge representation, and argue that support logic programming a combination of soft computing and logic programming – is one way to address this problem. To retain consistency with emerging frameworks, we show how a support logic program modelling uncertainty in relations and rules can be compiled into crisp Horn clauses suitable for reasoning within a system which does not explicitly model uncertainty. In cases where there is uncertainty in attribute values, an extension to the inference mechanism is required.