Multi-attribute group decision making approach based on interval-valued intuitionistic fuzzy sets and evidential reasoning methodology
In multi-attribute group decision making methods, team often needs to deal with both quantitative data and qualitative information with uncertainty. It is essential to properly represent and use uncertain information to conduct rational decision analysis. Having regarded this fact many approaches have been proposed for solving group decision-making problems, especially in fuzzy environments, but due to their drawbacks they get an unreasonable preference order of the alternatives in some situation. Thus in this paper based on interval-valued intuitionistic fuzzy sets and evidential reasoning methodology, a new approach has been proposed for supporting such decision situation. The experimental results are examined using the proposed approach. Computation steps and analysis results are provided to demonstrate its implementation process. The proposed method can overcome the drawbacks of the existing methods for fuzzy multi-attribute group decision making in intuitionistic fuzzy environments.
KeywordsMulti-attribute group decision making Interval-valued intuitionistic fuzzy sets Evidential reasoning methodology
Compliance with ethical standards
Conflicts of interest
The authors whose names are listed in the publication certify that they have no affiliation with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this publication.
This article does not contain any studies with human participants or animals performed by any of the authors.
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