DocumentCode
226967
Title
On the use of Hesitant Fuzzy Linguistic Term Set in FLINTSTONES
Author
Estrella, Francisco J. ; Rodriguez, R.M. ; Espiniila, Macarena ; Martinez, Luis
fYear
2014
fDate
6-11 July 2014
Firstpage
784
Lastpage
791
Abstract
The use of linguistic information to model and manage uncertainty in Decision Making (DM) has been a key subject of many proposals in the literature. The 2-tuple linguistic model and its extensions in linguistic DM has been very successful and extensive due to their flexibility and accuracy. Flintstones is a novel fuzzy linguistic decision tool enhancement suite that implements tools to facilitate the solving of linguistic DM problems that model the linguistic information with such a model and its extensions. However, both the 2-tuple linguistic model and Flintstones can not deal with uncertain situations modelled linguistically in which experts hesitate among several linguistic terms. For these cases, recently, it has been proposed the use of Hesitant Fuzzy Linguistic Term Sets (HFLTS) that have attracted a lot of research interest, mainly regarding its application in DM. Hence in this contribution it is proposed an extended version of Flintstones that includes the ability and functionality of dealing with HFLTS in linguistic decision problems and enables the integration, validity and performance of hesitant linguistic decision models and operators.
Keywords
computational linguistics; decision making; fuzzy set theory; uncertainty handling; 2-tuple linguistic model; FLINTSTONES; HFLTS; fuzzy linguistic decision tool enhancement suite; hesitant fuzzy linguistic term set; hesitant linguistic decision models; linguistic decision making; linguistic decision problems; linguistic information; linguistic terms; uncertain situation; uncertainty management; uncertainty modeling; Computational modeling; Computer architecture; Cost accounting; Grammar; Pragmatics; Proposals; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-2073-0
Type
conf
DOI
10.1109/FUZZ-IEEE.2014.6891799
Filename
6891799
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