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Multi-attribute Group Decision Making based on Proportional 2-Tuple Linguistic Model

  • Congcong Li
  • Yucheng Dong
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 241)

Abstract

The proportional 2-tuple linguistic model provides a tool to deal with linguistic term sets that are not uniformly and symmetrically distributed. This study further develops multi-attribute group decision making methods with linguistic assessments and linguistic weights, based on the proportional 2-tuple linguistic model. Firstly, this study defines some new operations in proportional 2-tuple linguistic model, including weighted average aggregation operator with linguistic weights, ordered weighted average operator with linguistic weights and the distance between proportional linguistic 2-tuples. Then, two multi-attribute group decision making methods are presented. They are the method based on the proportional 2-tuple linguistic aggregation operator, and technique for order preference by similarity to ideal solution (TOPSIS) with proportional 2-tuple linguistic information. Finally, an example for IT governance is given to illustrate the effectiveness of the proposed methods.

Keywords

Multi-attribute group decision making Proportional 2-tuple linguistic model Linguistic weight TOPSIS 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Business SchoolSichuan UniversityChengduPeople’s Republic of China

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