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Citation |
Yin X, Wang Y, Dai B, Wang T. China Saf. Sci. J. 2020; 30(5): 129-135. |
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Copyright |
(Copyright © 2020, China Occupational Safety and Health Association, Publisher Gai Xue bao) |
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DOI |
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PMID |
unavailable |
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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 urban safety 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. © 2020 China Safety Science Journal. All rights reserved. Language: zh |