International Journal of Computational Intelligence Systems

Volume 8, Issue 1, January 2015, Pages 14 - 33

Extended hesitant fuzzy linguistic term sets and their aggregation in group decision making

Authors
Hai Wang
Corresponding Author
Hai Wang
Received 15 March 2014, Accepted 17 March 2014, Available Online 1 January 2015.
DOI
10.2991/ijcis.2015.8.1.2How to use a DOI?
Keywords
Group decision making, Hesitant fuzzy set, Hesitant fuzzy linguistic term set, Extended hesitant fuzzy linguistic term set, Aggregation operator
Abstract

Group decision making problems which organize a group of experts to evaluate a set of alternatives with respect to several criteria are commonly discussed recently. Hesitant fuzzy linguistic term sets, characterized by a set of consecutive linguistic terms, act as a new model for qualitative settings where experts think of several possible linguistic values or richer expressions than a single term. When evaluating an indicator, alternative or variable in group decision making, however, linguistic terms involved in an expression derived by the group may be not always consecutive. Therefore, we generalize hesitant fuzzy linguistic term sets by enabling any non-consecutive linguistic terms in them, and refer to as extended hesitant fuzzy linguistic term sets (EHFLTSs). EHFLTSs can be constructed by the union of hesitant fuzzy linguistic term sets given by individual expert. As owning more desirable mathematical properties, EHFLTSs are flexible for develop complex decision model. Some basic operation and envelop of EHFLTSs are defined and some mathematical properties are discussed as well. For the sake of application in group decision making, we develop two classes of aggregation operators for aggregating a set of EHFLTSs to suit the cases where weighting vectors take the form of real numbers and linguistic terms respectively. Then a new group decision making model is formed and corresponding processes for two distinct scenarios are developed. A practical application clarifies the rationality and advantages of the proposed technique.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 1
Pages
14 - 33
Publication Date
2015/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2015.8.1.2How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Hai Wang
PY  - 2015
DA  - 2015/01/01
TI  - Extended hesitant fuzzy linguistic term sets and their aggregation in group decision making
JO  - International Journal of Computational Intelligence Systems
SP  - 14
EP  - 33
VL  - 8
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2015.8.1.2
DO  - 10.2991/ijcis.2015.8.1.2
ID  - Wang2015
ER  -