Research on case similarity matching of city bus fire incidents

doi:10.16265/j.cnki.issn1003-3033.2017.04.029

Abstract

Abstract: In order to solve the problem of rapid disposal and prevention of bus fire incidents a case database of 110 cases of bus fire incidents was established and relative recommendations were proposed after analyzing similar cases. Based on the information weight method and the text similarity calculation method, a case similarity matching model was built by which case stories similar to the target cases can be found. The matching results show that the retrieved historical cases and target cases are similar in the basic information, so they can be studied as similar cases. Similarities and differences between three cases of malicious fire incidents were analyzed. It was found that essential measures to prevent and despose malicious five incidents in bus should be making jiont rapid rescne arrangements,ensuring normal security,improving car evacuation instruction means, and regular supervision of both car body condition and fire tools configuration.

Key words: case database, case similarity, information weight, coefficient of variation vector, similarity calculation

CLC Number:

X932

SONG Yinhua, YU Kan, LYU Wei, LIU Dan. Research on case similarity matching of city bus fire incidents[J]. China Safety Science Journal, 2017, 27(4): 163-168.

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