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

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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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  -