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Soft Computing
Published in: Soft Computing 17/2017

28-03-2016 | Methodologies and Application

Multi-attribute group decision making approach based on interval-valued intuitionistic fuzzy sets and evidential reasoning methodology

Authors: Seyed Erfan Mohammadi, Ahmad Makui

Published in: Soft Computing | Issue 17/2017

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Abstract

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.
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Metadata
Title
Multi-attribute group decision making approach based on interval-valued intuitionistic fuzzy sets and evidential reasoning methodology
Authors
Seyed Erfan Mohammadi
Ahmad Makui
Publication date
28-03-2016
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 17/2017
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-016-2101-6

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