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Author Okamoto, W. ♦ Tano, S. ♦ Iwatani, T. ♦ Inoue, A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1994
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Natural languages ♦ Fuzzy sets ♦ Fuzzy systems ♦ Fuzzy reasoning ♦ Laboratories ♦ Buildings ♦ Engines ♦ Databases
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.<<ETX>>
Description Author affiliation: Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan (Okamoto, W.; Tano, S.; Iwatani, T.; Inoue, A.)
ISBN 078031896X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1994-06-26
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 466.13 kB
Page Count 6
Starting Page 2082
Ending Page 2087

Source: IEEE Xplore Digital Library