Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2015, Vol. 32 ›› Issue (5): 650-658.doi: 10.3969/j.issn.1005-3085.2015.05.003

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Method for Risk Ranking Based on Intuitionistic Fuzzy Multi-attribute Group Decision-making

CAI Jiu-shun1,  ZHANG Zhi-guo1,  SHI Peng1,  HE Quan2   

  1. 1- College of Equipment and Safety Engineering, Air Force Engineering University, Xi'an 710051
    2- College of Architecture, Xi'an University of Architecture and Technology, Xi'an 710055
  • Received:2014-09-22 Accepted:2015-03-12 Online:2015-10-15 Published:2015-12-15
  • Supported by:
    The 12th Five-year National Science and Technology Support Plan (2013BAJ03B04-1).

Abstract:

In order to solve the fuzzy and uncertainty problem of information collection, avoid the mistakes of single-person decision, and describe different characteristics of risk, we combine the intuitionistic triangular fuzzy number and the theory of multi-attribute group decision-making, and propose a new ranking method based on intuitionistic fuzzy multi-attribute group decision-making and improve the accuracy of risk ranking. Firstly, we apply the intuitionistic triangular fuzzy number to collect expert judgment information. Secondly, we calculate the entropy weights of triangular fuzzy number and intuitionistic fuzzy number to get the combined weights, and obtain the comprehensive value of different risk schemes. Then, we rank comprehensive value of different risk schemes by TOPSIS method. Finally, the numerical example is given to verify the feasibility and effectiveness of the method.

Key words: risk ranking, intuitionistic triangular fuzzy number, multi-attribute group decision-making, entropy weight, TOPSIS

CLC Number: