Interpolative fuzzy reasoning method based on the incircle of a generalized triangular fuzzy number

Fuzzy Rule Interpolation (FRI) is an important technique for implementing inference with sparse fuzzy rule-bases. Even if a given observation has no overlap with the antecedent of any rule from the rule-base, FRI may still conclude a conclusion. This paper introduces a new method called “Incircle FR...

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Veröffentlicht in:Journal of intelligent & fuzzy systems 2020-01, Vol.39 (1), p.709-729
Hauptverfasser: Alzubi, Maen, Kovacs, Szilveszter
Format: Artikel
Sprache:eng
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Zusammenfassung:Fuzzy Rule Interpolation (FRI) is an important technique for implementing inference with sparse fuzzy rule-bases. Even if a given observation has no overlap with the antecedent of any rule from the rule-base, FRI may still conclude a conclusion. This paper introduces a new method called “Incircle FRI” for fuzzy interpolation which is based on the incircle of a triangular fuzzy number. The suggested method is defined for triangular CNF fuzzy sets, for a single antecedent universe and two surrounding rules from the rule-base. The paper also extends the suggested “Incircle FRI” to trapezoidal, and hexagonal shaped fuzzy sets by decomposing their shapes to multiple triangulars. The generated conclusion is also a CNF fuzzy set. The performance of the suggested method is evaluated based on numerical examples and a comprehensive comparison to other current FRI methods.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-191660