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Health status assessment based on uncertainty and importance degree improved DSmT[J]. Journal of Aerospace Power, 2017, 32(1): 96-104. doi: 10.13224/j.cnki.jasp.2017.01.014
Citation: Health status assessment based on uncertainty and importance degree improved DSmT[J]. Journal of Aerospace Power, 2017, 32(1): 96-104. doi: 10.13224/j.cnki.jasp.2017.01.014
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Health status assessment based on uncertainty and importance degree improved DSmT

doi: 10.13224/j.cnki.jasp.2017.01.014
  • Received Date: 2015-04-30
  • Publish Date: 2017-01-28
    Abstract
  • Considering the health status assessment problem of lower accuracy and objectivity, the index uncertainty and importance degree was introduced, and then a method of health status assessment based on uncertainty and importance degree improved DSmT （DezertSmarandache theory） was proposed. Firstly, the uncertainty and importance degree was employed to determine the reasonable weight of index. Then the method of fuzzy comprehensive evaluation was used to determine the basic belief assignment of each index by building triangle trapezoidal membership function, and then the basic belief assignment was combined to get the assessment results using the weight DSmT fusion rule based on the index weight. Finally, the method was used to evaluate a power supply system. The results indicate that the proposed method can assign reasonable weight to the index, and the health status assessment result is consistent with the actual state.

     

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