• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science

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A new TOPSIS method of multiple-attribute decision-
making based on intuitionistic fuzzy cloud model
 

YUAN Hua1,LIU Wen-yi1,WANG Xiao-xia2   

  1. (1.School of Instrument and Electronics,North University of China,Taiyuan 030051;
    2.School of Information and Communication Engineering,North University of China,Taiyuan 030051,China)
  • Received:2015-06-29 Revised:2016-01-13 Online:2017-03-25 Published:2017-03-25

Abstract:

In view that the attribute value is intuitionistic fuzzy numbers in multi-attribute decision making problems, we present a new TOPSIS method of multi-attribute decision-making. Firstly, we employ the intuitionistic fuzzy cloud to describe all attribute values of the alternatives, and calculate the expectations, entropy and hyper entropy of the alternatives. Secondly, we construct the decision matrix of numerical characteristics, and obtain the corresponding positive and negative ideal solutions. Finally, we calculate the distance between the numerical characteristics and the positive and negative ideal solutions, and get a composite closeness coefficient, thus obtaining the optimal decision results. The rationality and validity of the presented method are verified through numerical examples.

Key words: intuitionistic fuzzy cloud model, TOPSIS, multi-attribute decision-making, composite closeness coefficient