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Research on CO Poisoning Risk Classification Evaluation Based SOM-AHP Method

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Proceedings of 2017 Chinese Intelligent Systems Conference (CISC 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 459))

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Abstract

For the risk of CO poisoning risk problems in heating quarter rental housing of northern China, a risk assessment model on CO poisoning based on SOM-AHP method is proposed in this paper. On the basis of designing the index system of poisoning risk assessment, self—organizing neural network (SOM) is used to determine the division of the risk classification, and used Analytic Hierarchy Process (AHP) to obtain the relative weight of each risk index, then according to the classification rule of the hierarchical order and warning level, the risk classification of carbon monoxide poisoning has been realized. The model is applied to the risk assessment of carbon monoxide poisoning in rented houses in Chaoyang District of Beijing, and the results showed the feasibility of the model.

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Acknowledgements

This work was financially supported by National Natural Science Foundation of China (51179002), Beijing Municipal Universities Innovation Ability Improvement Program Project (PXM2014_014213_000033). Science and Technology Key Project of Beijing Municipal Education Commission (KZ201510011011). Those supports are gratefully acknowledged.

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Authors and Affiliations

  1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048, China

    Youlin Cai, Xiaoyi Wang & Jiping Xu

Authors
  1. Youlin Cai
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  2. Xiaoyi Wang
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  3. Jiping Xu
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Corresponding author

Correspondence to Xiaoyi Wang .

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Editors and Affiliations

  1. Beihang University , Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

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Cai, Y., Wang, X., Xu, J. (2018). Research on CO Poisoning Risk Classification Evaluation Based SOM-AHP Method. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2017 Chinese Intelligent Systems Conference. CISC 2017. Lecture Notes in Electrical Engineering, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-6496-8_11

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  • DOI: https://doi.org/10.1007/978-981-10-6496-8_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6495-1

  • Online ISBN: 978-981-10-6496-8

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