Computer Science ›› 2020, Vol. 47 ›› Issue (6): 225-229.doi: 10.11896/jsjkx.200200082

• Artificial Intelligence • Previous Articles     Next Articles

Improved FMEA Method Based on Interval-Valued Hesitant Fuzzy TODIM

XIAO Cheng-xue, GUO Jian   

  1. School of Management Science and Engineering,Central University of Finance and Economics,Beijing 100081,China
  • Received:2020-02-16 Online:2020-06-15 Published:2020-06-10
  • About author:XIAO Cheng-xue,born in 1998,postgraduate.His main research interests include fuzzy theory and multi-attribute decision-making.
    GUO Jian,born in 1977,Ph.D,associate professor.Her main research interests include project risk management and decision analysis.

Abstract: Failure mode and effect analysis (FMEA) is a pre prevention risk analysis method,which has many shortcomings in the practical application.The application environment of the traditional FMEA method is highly uncertain.The final result using the traditional method for analysis deviates greatly from the actual situation.Based on fuzzy theory and multi-attribute decision model,a risk ranking method of interval-valued hesitant fuzzy TODIM is proposed.Firstly,the interval-valued hesitant fuzzy element is used to construct the expert evaluation matrix.Secondly,the objective weights of risk factors are calculated by the maximum deviation method,and the subjective weights of risk factors are determined by expert evaluating method,and the comprehensive weights obtained by combining the two weights.Finally,the O,S and D of failure modes are evaluated by the TODIM me-thod.Taking the risk assessment of subway doors as an example,the effectiveness of the proposed method is verified.

Key words: Comprehensive weight, Failure mode and effect analysis, Interval-valued hesitant fuzzy element, Risk ranking, TODIM method

CLC Number: 

  • TH122
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