Some generalized aggregating operators with linguistic information and their application to multiple attribute group decision making

With respect to multiple attribute group decision making problems with linguistic information, some new decision analysis methods are proposed. Firstly, we develop three new aggregation operators: generalized 2-tuple weighted average (G-2TWA) operator, generalized 2-tuple ordered weighted average (G...

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Veröffentlicht in:Computers & industrial engineering 2011-08, Vol.61 (1), p.32-38
1. Verfasser: Wei, Gui-Wu
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description With respect to multiple attribute group decision making problems with linguistic information, some new decision analysis methods are proposed. Firstly, we develop three new aggregation operators: generalized 2-tuple weighted average (G-2TWA) operator, generalized 2-tuple ordered weighted average (G-2TOWA) operator and induced generalized 2-tuple ordered weighted average (IG-2TOWA) operator. Then, a method based on the IG-2TOWA and G-2TWA operators for multiple attribute group decision making is presented. In this approach, alternative appraisal values are calculated by the aggregation of 2-tuple linguistic information. Thus, the ranking of alternative or selection of the most desirable alternative(s) is obtained by the comparison of 2-tuple linguistic information. Finally, a numerical example is used to illustrate the applicability and effectiveness of the proposed method.
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source Elsevier ScienceDirect Journals Complete
subjects Agglomeration
Appraisals
Decision analysis
Decision making
Decision making units
Generalized 2-tuple ordered weighted average (G-2TOWA) operator
Generalized 2-tuple weighted average (G-2TWA) operator
Induced generalized 2-tuple ordered weighted average (IG-2TOWA) operator
Information
Linguistic information
Linguistics
Mathematical analysis
Mathematical models
Multiple attribute group decision making
Multiple criteria decision making
Operators
Studies
title Some generalized aggregating operators with linguistic information and their application to multiple attribute group decision making
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