An Inference Method for Fuzzy Quantified Natural Language Propositions Based on New Interpretation of Truth Qualification

In this paper, we propose a method that affects inference results leading to a new interpretation of a truth qualification by adding a weight attribute to truth qualified fuzzy sets. With this method, we can obtain different inference results depending on the truth qualifiers by transforming a state...

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Veröffentlicht in:Journal of advanced computational intelligence and intelligent informatics 2007-01, Vol.11 (1), p.71-78
Hauptverfasser: Okamoto, Wataru, Tano, Shun’ichi, Iwatani, Toshiharu, Inoue, Atsushi
Format: Artikel
Sprache:eng
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Zusammenfassung:In this paper, we propose a method that affects inference results leading to a new interpretation of a truth qualification by adding a weight attribute to truth qualified fuzzy sets. With this method, we can obtain different inference results depending on the truth qualifiers by transforming a statement with fuzzy quantified and truth qualified natural language propositions. We applied our method to four examples transforming a fuzzy predicate of the natural language propositions and showed an effectiveness of the method.
ISSN:1343-0130
1883-8014
DOI:10.20965/jaciii.2007.p0071