中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (5): 129-135.doi: 10.16265/j.cnki.issn1003-3033.2020.05.020

• 公共安全 • 上一篇    下一篇

模糊Petri网在城市安全发展水平评价中的应用分析

尹鑫伟, 王瑜 副研究员, 代宝乾 研究员, 汪彤 研究员   

  1. 北京市劳动保护科学研究所 城市有毒有害易燃易爆危险源控制技术北京市重点实验室,北京 100054
  • 收稿日期:2020-02-24 修回日期:2020-04-12 出版日期:2020-05-28 发布日期:2021-01-28
  • 作者简介:尹鑫伟(1994—),男,浙江绍兴人,硕士研究生,研究方向为安全风险评估、应急管理。E-mail:albertyxw@163.com。
  • 基金资助:
    国家重点研发计划项目(2018YFF0301003);北京市财政项目(PXM2020_178304_000008)。

Application analysis of fuzzy Petri net in evaluation of urban safety development level

YIN Xinwei, WANG Yu, DAI Baoqian, WANG Tong   

  1. Beijing Key Laboratory of City Toxic, Harmful, Flammable and Explosive Hazard Control Technology, Beijing Municipal Institute of Labor Protection, Beijing 100054, China
  • Received:2020-02-24 Revised:2020-04-12 Online:2020-05-28 Published:2021-01-28

摘要: 为克服传统Petri网在评价城市安全发展水平时不易处理模糊信息的缺点,提出基于Petri网络和模糊推理算法的评估分析方法。首先,分析城市安全管理风险特性;其次,借鉴国家安全发展示范城市评价细则,建立三级城市安全发展评价指标体系;然后,将指标转换成城市安全模糊Petri网络(FPN)模型,运用模糊推理算法对Petri网络进行迭代计算,得到最终评价矩阵;最后,通过模糊层次分析法 (FAHP)与优劣解距离法 (TOPSIS)验证该方法结果的可靠性。研究结果表明:该方法能够有效处理指标基础模糊信息,并确定优势环节和薄弱环节,有助于评估城市安全发展水平。

关键词: 城市安全发展, 城市风险特性, 模糊Petri网络(FPN), 模糊推理, 评估分析

Abstract: In order to overcome the shortcoming of traditional Petri net that it is not easy to deal with fuzzy information when evaluating urban safety development level, an evaluation and analysis method based on Petri network and fuzzy reasoning algorithm is proposed. Firstly, characteristics of urban safety development were studied. Secondly, a three-level evaluation index system was established by referring to evaluation rules of model cities for national safety development. Then, indicators were transformed into an urbansafety FPN model, and fuzzy inference algorithm was used to iteratively calculate Petri network and to obtain final evaluation matrix. Finally, reliability of its results was verified by fuzzy analytic hierarchy process (FAHP) and technique for order preference by similarity to an ideal solution (TOPSIS). The results show that this method can effectively process basic fuzzy information of indexes and determine parts of strength and weakness, therefore it is helpful to assess urban safety development level.

Key words: urban safety development, urban risk characteristics, fuzzy Petri net(FPN), fuzzy reasoning, evaluation analysis

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