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
Link To Document :
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