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Published in: Soft Computing 8/2020

23-09-2019 | Focus

MABAC method for multiple attribute group decision making under picture 2-tuple linguistic environment

Authors: Siqi Zhang, Guiwu Wei, Fuad E. Alsaadi, Tasawar Hayat, Cun Wei, Zuopeng Zhang

Published in: Soft Computing | Issue 8/2020

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Abstract

In this article, we extend multi-attributive border approximation area comparison (MABAC) approach to the multiple attribute group decision making with picture 2-tuple linguistic numbers. We review the concept of picture 2-tuple linguistic sets and introduce its corresponding score function, accuracy function, and operational laws. In addition, we propose two aggregation operators of picture 2-tuple linguistic numbers and then develop a method by combining traditional MABAC model with the overall picture 2-tuple linguistic evaluation information. Our proposed method is increasingly accurate and valid even when the conflicting attributes are considered. We also provide a numerical instance for assessing and selecting the renewable energy power generation project to demonstrate the efficacy of our novel model. Finally, we compare our proposed approach with other traditional operators to further show its benefits.

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Metadata
Title
MABAC method for multiple attribute group decision making under picture 2-tuple linguistic environment
Authors
Siqi Zhang
Guiwu Wei
Fuad E. Alsaadi
Tasawar Hayat
Cun Wei
Zuopeng Zhang
Publication date
23-09-2019
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 8/2020
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-04364-x

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