• Electronics Optics & Control
  • Vol. 29, Issue 7, 81 (2022)
GAO Jianguo1, ZHANG Han1、2, MIN Guilong3, and WANG Qiang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2022.07.015 Cite this Article
    GAO Jianguo, ZHANG Han, MIN Guilong, WANG Qiang. A Fuzzy Evidence Reasoning Method for Aviation Safety Risk Evaluation[J]. Electronics Optics & Control, 2022, 29(7): 81 Copy Citation Text show less

    Abstract

    In order to solve the problem that the indexes are difficult to describe quantitatively and the index data is uncertain in the process of aviation safety risk evaluation, a fuzzy evidence reasoning method for aviation safety risk evaluation is proposed.Based on the “man-machine-environment” system safety theory, the evaluation index system is constructed from four aspects of “personnel, aircraft, environment and management”.On this basis, the safety risk value and reliability structure representation of each evaluation index are determined based on triangular fuzzy number and its operation rules, and then the overall safety risk value is calculated by using the evidence reasoning algorithm, so as to determine the safety risk level.Finally, an example is given to verify the effectiveness and rationality of the method.
    GAO Jianguo, ZHANG Han, MIN Guilong, WANG Qiang. A Fuzzy Evidence Reasoning Method for Aviation Safety Risk Evaluation[J]. Electronics Optics & Control, 2022, 29(7): 81
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