International Journal of Computational Intelligence Systems

Volume 9, Issue 3, June 2016, Pages 468 - 482

Multi-Groups Decision Making using Intuitionistic-valued Hesitant Fuzzy Information

Authors
Hai Wangwanghai17@sina.com
School of Economics and Management, Southeast University, Nanjing, 210046, China
Zeshui Xu*, xuzeshui@263.net
School of Economics and Management, Southeast University, Nanjing, 210046, China
*Corresponding author.
Corresponding Author
Received 24 August 2015, Accepted 6 February 2016, Available Online 1 June 2016.
DOI
10.1080/18756891.2016.1175812How to use a DOI?
Keywords
Decision making; Multi-groups decision making; Hesitant fuzzy set; Intuitionistic-valued hesitant fuzzy sets; Aggregation operator
Abstract

Multi-groups decision making (MGDM) problems, which contain multiple groups of experts acting collectively to evaluate a set of alternatives with respect to several criteria, are focused on in this study. The existing solutions for MGDM are to aggregate the evaluations three times at different levels, which leads to less accuracy and more computational complexities. Intuitionistic-valued hesitant fuzzy elements (I-HFEs) which consider all possible values instead of aggregation straightforward are flexible to represent the experts’ opinions and lessen the steps of aggregations. This study investigates MGDM with decision information taking the form of I-HFEs and their special cases. Based on some aggregation operators of I-HFEs, three approaches for distinct scenarios of MGDM are proposed and clarified by a practical problem involved with supplier selection. Comparisons between the proposed approaches and the existing methods show that the proposed approaches are more rational than those by aggregating the evaluations directly in MGDM.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 3
Pages
468 - 482
Publication Date
2016/06/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1175812How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Hai Wang
AU  - Zeshui Xu
PY  - 2016
DA  - 2016/06/01
TI  - Multi-Groups Decision Making using Intuitionistic-valued Hesitant Fuzzy Information
JO  - International Journal of Computational Intelligence Systems
SP  - 468
EP  - 482
VL  - 9
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1175812
DO  - 10.1080/18756891.2016.1175812
ID  - Wang2016
ER  -