The determination of safety evaluation weight of most engineering equipment mainly depends on the subjective experience of experts, which ignores the objective requirements of indicator status evaluation, is unable to satisfy the needs of the evaluation system with the advances in modern equipment health monitoring technology. Hence, the authors establish a safety evaluation model to form a comprehensive weight using experience factors, based on the objective weighting of the entropy weight method (EWM) and the subjective weighting of the analytic hierarchy process (AHP), to integrate the objective analysis data and subjective prior knowledge. Then, a safety evaluation system with state value as the main consideration was built on the combination of knowledge and fuzzy comprehensive evaluation. Finally, the availability of the proposed evaluation method was verified by the example.
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Cheng et al. (2021) studied this question.
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