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An Interval Intuitionistic Fuzzy VIKOR Evaluation Method Based on Unknown Weight

  • Wenyu Zhang
  • Dadi DongEmail author
  • Songmin Zhao
  • Yuting Zhu
  • Danshu Wang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1074)

Abstract

For multi-attribute group decision-making problems with unknown attribute weights and decision makers’ weights, an interval intuitionistic fuzzy VIKOR evaluation method with unknown weights is proposed. Firstly, the interval intuitionistic fuzzy number is used to construct the evaluation matrix of each decision maker. Secondly, the information entropy of interval intuitionistic fuzzy numbers is used to obtain the objective weight of attributes. Then, the scoring weight of each decision-maker is calculated based on the scoring correlation coefficient of the decision-maker and the group decision-maker, and then the above weights are aggregated to obtain a comprehensive evaluation matrix; Thirdly, the VIKOR sorting method is used to sort the comprehensive evaluation matrix to obtain the optimal scheme. Finally, the feasibility and effectiveness of the algorithm are verified by an example of decision-making of the optimal knowledge service platform scheme. The results show that the method is feasible to solve the optimization problem of multi-attribute group decision making with unknown attribute weight and decision maker weight.

Keywords

Unknown weight Interval intuitionistic fuzziness VIKOR 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Wenyu Zhang
    • 1
    • 2
  • Dadi Dong
    • 1
    Email author
  • Songmin Zhao
    • 1
  • Yuting Zhu
    • 1
  • Danshu Wang
    • 1
  1. 1.Xi’an University of Posts and TelecommunicationsXi’anChina
  2. 2.China Research Institute of Aerospace Systems Science and EngineeringBeijingChina

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