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Fuzzy risk analysis based on a new method for ranking generalized fuzzy numbers

  • Dong Wu
  • , Xiang Liu
  • , Feng Xue
  • , Hanqing Zheng
  • , Yehang Shou
  • , Wen Jiang
  • Northwestern Polytechnical University Xian
  • CASC
  • Shanghai Institute of Spaceflight Control Technology

科研成果: 期刊稿件文章同行评审

9 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)117-139
页数23
期刊Iranian Journal of Fuzzy Systems
15
3
DOI
出版状态已出版 - 6月 2018

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