Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70098
Title: A semantic model for vague quantifiers combining fuzzy theory and supervaluation theory
Authors: Chow, KF
Keywords: vague quantifiers
Generalized quantifier theory
Fuzzy theory
Supervaluation theory
Modified glöckner’s method
Issue Date: 2011
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2011, v. 6953, p. 61-73 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: This paper introduces a semantic model for vague quantifiers (VQs) combining Fuzzy Theory (FT) and Supervaluation Theory (ST), which are the two main theories on vagueness, a common source of uncertainty in natural language. After comparing FT and ST, I will develop the desired model and a numerical method for evaluating truth values of vague quantified statements, called the Modified Glöckner’s Method, that combines the merits and overcomes the demerits of the two theories. I will also show how the model can be applied to evaluate truth values of complex quantified statements with iterated VQs.
Description: 3rd International Workshop on Logic, Rationality and Interaction, LORI 2011, Guangzhou, China, October 10-13, 2011
URI: http://hdl.handle.net/10397/70098
ISBN: 978-3-642-24129-1
978-3-642-24130-7
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-24130-7_4
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

3
Last Week
0
Last month
Citations as of Feb 18, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.