
Proceedings Paper
Decision-making method for railway emergency based on combination weighting and cloud modelFormat | Member Price | Non-Member Price |
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Paper Abstract
Aiming at the problems of randomness and fuzziness of railway emergency, this paper introduces a decision-making method of railway emergency based on combination weighting and cloud model. Firstly, In order to enhance the subjective and objective consistency of combined weights, the adjustment equations of weight coefficient are established with the Euclidean distance, then combined weights are calculated by means of improved analytic hierarchy process(IAHP) and entropy weight method. Secondly, the decision-making information of experts is converted into the cloud parameters of indexes with cloud model, and the cloud parameters of alternatives are obtained by integrating the combined weights and cloud parameters of indexes. Thirdly, the best alternative is obtained by analyzing and comparing the cloud parameters or cloud images of alternatives. Finally, the effectiveness and feasibility of the method are verified by a case.
Paper Details
Date Published: 23 January 2017
PDF: 8 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221N (23 January 2017); doi: 10.1117/12.2265478
Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)
PDF: 8 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221N (23 January 2017); doi: 10.1117/12.2265478
Show Author Affiliations
Xiaoqin Liu, China Academy of Railways Sciences (China)
Lanzhou Jiaotong Univ. (China)
Fuzhang Wang, China Academy of Railways Sciences (China)
Lanzhou Jiaotong Univ. (China)
Fuzhang Wang, China Academy of Railways Sciences (China)
Pu Wang, China Academy of Railways Sciences (China)
Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)
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