Performance evaluation of HSE with fuzzy Petri nets based on BP algorithm

doi:10.16265/j.cnki.issn1003-3033.2017.09.020

Abstract

Abstract: In order to obtain more objective and effective results of HSE performance evaluation and enhance the management effect, a FPN HSE performance evaluation model based on BP algorithm was built. Firstly, before building the model, a FPN model of HSE performance was built by combining the HSE elements hierarchy. Then the BP error back propagation algorithm was used to adjust the confidence of the transitions and the reliability of the initial places in the FPN reasoning process to avoid the subjectivity of input parameters. The evaluation results can be obtained by inputting the relevant parameters and fuzzy reasoning. Finally the effectiveness of BPFPN model was verified by applying it to a certain petrolic company as an example. The results show that the BPFPN model is suitable for HSE performance evaluation and can provide decision support for HSE management.

Key words: health, safety and environment(HSE) performance evaluation, fuzzy Petri nets(FPN), back propagation(BP), transitions confidence, places reliability

CLC Number:

X937

HAN Jing, LIANG Wei, ZHANG Laibin. Performance evaluation of HSE with fuzzy Petri nets based on BP algorithm[J]. China Safety Science Journal, 2017, 27(9): 116-121.

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