DocumentCode
2270083
Title
Inference method for natural language propositions involving fuzzy quantifiers in FLINS
Author
Okamoto, Wataru ; Tano, Shun´ichi ; Iwatani, Toshiharu ; Inoue, Atsushi
Author_Institution
Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan
fYear
1994
fDate
26-29 Jun 1994
Firstpage
2082
Abstract
We propose an inference method necessary for constructing a natural language communication system called FLINS (Fuzzy Lingual System). We show that for natural language propositions involving fuzzy quantifiers, for example “Most tall men are heavy”, we can infer a modified proposition “Many tall men are very heavy”, where the fuzzy quantifier “Many” in the inferred proposition can be resolved analytically. Generally, for natural language propositions involving three types of quantifiers, a monotone nonincreasing type (FEW, ...), a monotone nondecreasing type (MOST, ...) and a triangular type (SEVERAL, ...), we can resolve fuzzy quantifiers analytically for inferred propositions
Keywords
computational linguistics; fuzzy logic; inference mechanisms; natural languages; FLINS; fuzzy lingual system; fuzzy quantifiers; inference method; monotone type; natural language propositions; Buildings; Databases; Engines; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Laboratories; Natural languages;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343544
Filename
343544
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