FUZZY RISK ANALYSIS BASED ON A NEW METHOD FOR RANKING GENERALIZED FUZZY NUMBERS

Authors

  • Dong Wu School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China
  • Feng Xue School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China
  • Hanqing Zheng Shanghai Institute of Spaceflight Control Technology, Shanghai, China
  • Wen Jiang School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China
  • Xiang Liu Infrared Detection Technology Research & Development Center, Shanghai Institute of Spaceflight Control Technology, CASC, Shanghai, China
  • Yehang Shou School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China
Abstract:

Fuzzy risk analysis, as a powerful tool to address uncertain information, can provide an appropriate method for risk analysis. However, the previous fuzzy risk analysis methods still have some weaknesses. To overcome the weaknesses of existing fuzzy risk analysis methods, a novel method for ranking generalized fuzzy numbers is proposed for addressing fuzzy risk analysis problems. In the proposed method, a new value of ranking score is obtained based on ordered weighted averaging (OWA) operator. The proposed method takes into consideration of the different importance of the three scoring factors defuzzified value, height and spread. Comparing to some existing methods, the new method can get more reasonable results in some situations.

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Journal title

volume 15  issue 3

pages  117- 139

publication date 2018-06-30

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