An Improved Topsis Method Based on Cloud Model for Risk Assessment of Failure Modes of Metro Vehicle

被引：0
|
作者：
Lei, Li [1 ,2 ]
Fang, Zhou [3 ]
Ge, Guo [4 ]
机构：
[1] Zhejiang Normal Univ, Coll Engn, Jinhua 321004, Zhejiang, Peoples R China
[2] Rutgers State Univ, Dept Civil & Environm Engn, Piscataway, NJ 08854 USA
[3] Hangzhou Metro Grp Ltd Operat Branch, China Vehicle Guarantee Dept, Hangzhou 310021, Zhejiang, Peoples R China
[4] China Acad Railway Sci Corp Ltd, Inst Comp Technol, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
关键词：
Failure Modes; Metro Vehicle; TOPSIS Method; Cloud Model; Risk prioritization; FUZZY TOPSIS; SYSTEM; AHP;
D O I：
10.1109/ccdc.2019.8832500
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve the quality of the risk prioritization results of failure modes for metro vehicle, a new risk prioritization approach of failure modes is proposed based on the improved TOPSIS-and cloud model. Firstly, three risk factors are considered, namely severity (S), occurrence (O), and detection (D). The risk factors and their importance weights of risk factors are assessed using linguistic information. Secondly, considering uncertainty and diversity of experts' assessment information, linguistic assessment information is converted to corresponding clouds model. Then, the method of solving the weight of risk factors is proposed based on cloud model. Thirdly, an improved TOPSIS method is used to evaluate risk of the failure modes. Finally, a numerical example and a comparison analysis are provided to demonstrate the feasibility and effectiveness of this method.
引用
收藏
页码：6104 / 6110
页数：7
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