DocumentCode :
2212011
Title :
Semi-fuzzy quantifiers as a tool for building linguistic summaries of data patterns
Author :
Díaz-Hermida, Félix ; Bugarín, Alberto
Author_Institution :
Dept. of Electron. & Comput. Sci., Univ. of Santiago de Compostela, Santiago de Compostela, Spain
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
45
Lastpage :
52
Abstract :
In this paper we discuss how semi-fuzzy quantifiers are a useful tool for modeling linguistic summaries from data in two aspects: how they provide a systematic mechanism for performing the data summarization task involving fuzzy quantifiers that are different from the usual unary and binary ones and also how they can be used for the detection of quantified patterns in data.
Keywords :
computational linguistics; data handling; fuzzy set theory; data pattern; linguistic summary; semifuzzy quantifier; Buildings; Data models; Pragmatics; Production; Semantics; Syntactics; Systematics; determiner fuzzification schemes; fuzzy quantifiers; linguistic summarization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computational Intelligence (FOCI), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9981-6
Type :
conf
DOI :
10.1109/FOCI.2011.5949473
Filename :
5949473
Link To Document :
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