Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method

Joint Authors

Yuan, Zhang
Du, Yanping
Zhao, Xiaogang
Wang, Xiaohui

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-12-09

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Biology

Abstract EN

A bogie system is the key equipment of railway vehicles.

Rigorous practical evaluation of bogies is still a challenge.

Presently, there is overreliance on part-specific experiments in practice.

In the present work, a risk evaluation index system of a bogie system has been established based on the inspection data and experts’ evaluation.

Then, considering quantitative and qualitative aspects, the risk state of a bogie system has been evaluated using an extension theory and an entropy weight method.

Finally, the method has been used to assess the bogie system of four different samples.

Results show that this method can assess the risk state of a bogie system exactly.

American Psychological Association (APA)

Du, Yanping& Yuan, Zhang& Zhao, Xiaogang& Wang, Xiaohui. 2014. Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1034642

Modern Language Association (MLA)

Du, Yanping…[et al.]. Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1034642

American Medical Association (AMA)

Du, Yanping& Yuan, Zhang& Zhao, Xiaogang& Wang, Xiaohui. Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1034642

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1034642