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