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Published in: Group Decision and Negotiation 1/2016

24-02-2015

Generalized Hybrid Aggregation Operators Based on the 2-Dimension Uncertain Linguistic Information for Multiple Attribute Group Decision Making

Authors: Peide Liu, Li He, Xiaocun Yu

Published in: Group Decision and Negotiation | Issue 1/2016

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Abstract

With respect to the multiple attribute decision making problems in which the attribute values take the form of the 2-dimension uncertain linguistic information, a new method based on the generalized hybrid operators is proposed. Firstly, the definition, properties, expectations and ranking method of 2-dimension uncertain linguistic information are introduced, and the operational laws the 2-dimension uncertain linguistic information are defined. Then some aggregation operators, including 2-dimension uncertain linguistic generalized weighted average operator, 2-dimension uncertain linguistic generalized ordered weighted average operator, and 2-dimension uncertain linguistic generalized hybrid weighted average operator, are developed, and some properties and special cases of them are also discussed. Finally, these operators are applied to multi-criteria decision making and an illustrative example is given to verify the developed approach and to demonstrate its effectiveness.

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Metadata
Title
Generalized Hybrid Aggregation Operators Based on the 2-Dimension Uncertain Linguistic Information for Multiple Attribute Group Decision Making
Authors
Peide Liu
Li He
Xiaocun Yu
Publication date
24-02-2015
Publisher
Springer Netherlands
Published in
Group Decision and Negotiation / Issue 1/2016
Print ISSN: 0926-2644
Electronic ISSN: 1572-9907
DOI
https://doi.org/10.1007/s10726-015-9434-x

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