DocumentCode
2310547
Title
A generalized four-step inference method for fuzzy quantified and truth-qualified natural language propositions
Author
Okamoto, Wataru ; Tano, Shun´ichi ; Inoue, Atsushi ; Fujioka, Ryosuke
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
8
Abstract
We propose a generalized inference method for constructing natural language communication. The method is used to obtain fuzzy quantifier Q\´ when “QA are F is τ ⇒ Q\´(m\´A) are mF is m\´\´ τ " inferred (Q, Q\´: fuzzy quantifiers, A: fuzzy subject, m, m\´, m": modifiers, F: fuzzy predicate, τ: truth qualifier). We show that Q\´ is resolved step by step for a non-increasing type (few,...) and a non-decreasing type (most,...).
Keywords
fuzzy set theory; inference mechanisms; natural languages; fuzzy predicate; fuzzy quantified natural language propositions; fuzzy quantifiers; fuzzy subject; generalized four-step inference method; truth qualifier; truth-qualified natural language propositions; Book reviews; Concrete; Fuzzy systems; Humans; Natural languages; Qualifications; Quantization; fuzzy inference; fuzzy quantifier; natural language; truth qualifier;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location
Barcelona
ISSN
1098-7584
Print_ISBN
978-1-4244-6919-2
Type
conf
DOI
10.1109/FUZZY.2010.5584544
Filename
5584544
Link To Document