DocumentCode
2903005
Title
An inference method for fuzzy quantified natural language propositions based on new interpretation of truth qualification
Author
Okamoto, Wataru ; Tano, Shun Ichi ; Iwatani, Toshiharu ; Inoue, Atsushi
fYear
2008
fDate
1-6 June 2008
Firstpage
293
Lastpage
298
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 two examples transforming a fuzzy predicate of the natural language propositions and showed an effectiveness of the method.
Keywords
fuzzy set theory; inference mechanisms; natural language processing; fuzzy quantified natural language propositions; inference method; truth qualification; truth qualified fuzzy sets; truth qualified natural language propositions; Communication systems; Databases; Fuzzy sets; Fuzzy systems; Natural languages; Possibility theory; Qualifications; Steel;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1098-7584
Print_ISBN
978-1-4244-1818-3
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2008.4630380
Filename
4630380
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