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Neural Computing and Applications
Published in: Neural Computing and Applications 6/2015

01-08-2015 | Original Article

The multi-attribute group decision-making method based on the interval grey uncertain linguistic generalized hybrid averaging operator

Authors: Peide Liu, Yanchang Chu, Yanwei Li

Published in: Neural Computing and Applications | Issue 6/2015

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Abstract

With respect to the multi-attribute group decision-making (MAGDM) problems with the interval grey uncertain linguistic variables (IGULVs), the MAGDM method based on the interval grey uncertain linguistic generalized hybrid averaging (IGULGHA) operator is proposed. Firstly, the operation rules, the properties and the comparing method of the IGUVs are introduced. Then, some aggregation operators such as interval grey uncertain linguistic generalized ordered weighted aggregation (IGULGOWA) operator and interval grey uncertain linguistic generalized hybrid aggregation (IGULGHA) operator are defined, and some properties such as idempotency, commutativity, monotonicity and boundedness are proved, and then, the decision-making methods based on these operators are presented to solve the group decision-making problems. Finally, a numerical example is used to show the proposed method, and the influence of the different position weight vector w and the different parameter λ on decision-making is analysed. The result shows that the method is simple and effective.
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Metadata
Title
The multi-attribute group decision-making method based on the interval grey uncertain linguistic generalized hybrid averaging operator
Authors
Peide Liu
Yanchang Chu
Yanwei Li
Publication date
01-08-2015
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 6/2015
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-014-1814-7

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