NDLI: Coherence of fuzzy knowledge bases

Content Provider	IEEE Xplore Digital Library
Author	Dubois, D. Prade, H. Ughetto, L.
Copyright Year	1996
Description	Author affiliation: Inst. de Recherche en Inf., Univ. Paul Sabatier, Toulouse, France (Dubois, D.)
Abstract	Checking the coherence of a set of rules is an important step in the validation process of a knowledge base. Roughly speaking, a knowledge base is "potentially inconsistent", what is called "incoherent" here, if there exists a piece of input data which respects integrity constraints and leads to logical inconsistency when added to the knowledge base. This paper is devoted to the case of bases made of parallel fuzzy rules. It is shown that only implication-based rules (gradual rules and certainty rules) are sensitive to coherence problems. However, unlike conjunction-based rules, with which incoherence may be hidden, they allow one to design coherence checking procedures. Necessary and sufficient conditions that a set of parallel certainty (or gradual) rules has to satisfy in order to avoid inconsistency are given.
Starting Page	1858
Ending Page	1864
File Size	889583
Page Count	7
File Format	PDF
ISBN	0780336453
DOI	10.1109/FUZZY.1996.552680
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Fuzzy sets Bismuth Sufficient conditions Testing Expert systems Hybrid intelligent systems Fuzzy systems Possibility theory
Content Type	Text
Resource Type	Article

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