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Fuzzy if-then-unless rules and their implementation
1993 (English)In: International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, ISSN 0218-4885, Vol. 1, no 2, 167-182Artikel i tidskrift (Refereed) Published
Abstract [en]

We consider the possibility of generalizing the notion of a fuzzy If-Then rule to take into account its context dependent nature. We interpret fuzzy rules as modeling a forward directed causal relationship between the antecedent and the conclusion, which applies in most contexts, but on occasion breaks down in exceptional contexts. The default nature of the rule is modeled by augmenting the original If-Then rule with an exception part. We then consider the proper semantic correlate to such an addition and propose a ternary relation which satisfies a number of intuitive constraints described in terms of a number of inference rules. In the rest of the paper, we consider implementational issues arising from the unless extension and propose the use of reason maintenance systems, in particular TMS's, where a fuzzy If-Then-Unless rule is encoded into a dependency net. We verify that the net satisfies the constraints stated in the inference schemes and conclude with a discussion concerning the integration of qualitative IN-OUT labelings of the TMS with quantitative degree of membership labelings for the variables in question.

Keyword [en]
Fuzzy Logic; Reason Maintenance; Nonmonotonicity
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-41613 (URN)10.1142/S0218488593000097 (DOI)58334 (Local ID)oai:DiVA.org:liu-41613 (OAI)
Available from2009-10-10 Created:2009-10-10 Last updated:2011-03-02

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Doherty, PatrickDriankov, DimiterHellendoorn, Hans
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The Institute of TechnologyKPLAB - Knowledge Processing LabAUTTEK - Autonomous Unmanned Aerial Vehicle Research Group
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International Journal of Uncertainty Fuzziness and Knowledge-Based Systems
Computer Science

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