A Multiple Criteria Group Decision Making Model with Entropy Weight in an Intuitionistic Fuzzy Environment

  • Chia-Chang HungEmail author
  • Liang-Hsuan Chen
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 52)


The theory of intuitionistic fuzzy sets (IFSs) is well-suited to dealing with vagueness and hesitancy. In this study, we propose a new fuzzy TOPSIS group decision making model using entropy weight for dealing with multiple criteria decision making (MCDM) problems in an intuitionistic fuzzy environment. This model can measure the degrees of satisfaction and dissatisfaction of each alternative evaluated across a set of criteria. To obtain the weighted fuzzy decision matrix, we employ the concept of Shannon’s entropy to calculate the criteria weights. An investment example is used to illustrate the application of the proposed model.

Entropy Intuitionistic fuzzy sets (IFSs) Multiple criteria decision making (MCDM) TOPSIS 


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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Department of Industrial and Information ManagementNational Cheng Kung UniversityTainanROC

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