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Improved Fuzzy Evaluation for Risk of Explosives in Road Transportation Based on Information Entropy

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Information Technology and Intelligent Transportation Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 454))

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Abstract

According to the complexity and uncertainty characteristics of the explosive road transportation accident, this paper proposed a improved fuzzy synthetic evaluation based on information entropy, established a risk evaluation index system for explosives in road transportation, taken thermal sensitivity, mechanical sensitivity, electrostatic sensitivity, shock sensitivity of explosives as the criterion level. Information entropy method is utilized to determine the index weight coefficient of influence factors, which overcome effectively the subjective influence of index weight caused by experts assigning artificially. Finally the synthetic weight coefficient is obtained by combining information entropy and subjective weighting method of traditional fuzzy evaluation, provided a new effective method for the risk evaluation of explosives in road transportation. The empirical analysis is shown that the transportation risk was relatively large and in line with the actual situation, which shown that the evaluation model is practical and feasible.

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Correspondence to Lei Wang .

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Wang, L., Cheng, Y. (2017). Improved Fuzzy Evaluation for Risk of Explosives in Road Transportation Based on Information Entropy. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-319-38789-5_61

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  • DOI: https://doi.org/10.1007/978-3-319-38789-5_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38787-1

  • Online ISBN: 978-3-319-38789-5

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