DocumentCode :
3165298
Title :
Modeling linguistic probabilities and linguistic quantifiers using interval type-2 fuzzy sets
Author :
Rajati, Mohammad Reza ; Mendel, Jerry M.
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2013
fDate :
24-28 June 2013
Firstpage :
327
Lastpage :
332
Abstract :
In this paper, we synthesize interval type-2 fuzzy set models of linguistic probability words and linguistic quantifiers by applying the Enhanced Interval Approach to data collected from subjects about those words. We establish some user friendly sub-vocabularies of linguistic probabilities and linguistic modifiers, so that they can be used in advanced computing with words applications. The user friendly vocabularies are based on axioms of fuzzy probabilities.
Keywords :
computational linguistics; fuzzy set theory; advanced computing with words; enhanced interval approach; fuzzy probabilities; interval type-2 fuzzy sets; linguistic probability modeling; linguistic quantifiers; user friendly subvocabularies; Computational modeling; Data models; Frequency selective surfaces; Fuzzy sets; Mathematical model; Pragmatics; Vocabulary; Advanced Computing with Words; Enhanced Interval Approach; Interval Type-2 Fuzzy Sets; Linguistic Probability; Linguistic Quantifier;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
Type :
conf
DOI :
10.1109/IFSA-NAFIPS.2013.6608421
Filename :
6608421
Link To Document :
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