Paper:
Language: English:

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

Wataru Okamoto^, Shun'ichi Tano^, Toshiharu Iwatani^, and Atsushi Inoue^****

^Yokohama, Kanagawa 240-0042, Japan
^University of Electro-Communications, Chofu, Tokyo 182-8585, Japan
^Kobe Steel Ltd., Kobe, Hyogo 651-8585, Japan
^****Eastern Washington University, Cheney, WA 99004-2412, USA

Received: December 12, 2005

Accepted: May 31, 2006

Keywords: natural language, fuzzy inference, fuzzy quantifiers, truth qualifiers, modifiers

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.1 pp. 71-78, 2007

Abstract

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.

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