Weighted Grey Relation Evaluation Model on Colliery Safety Factors

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Abstract:

Aiming at the shortage of existing grey relation model, the colliery safety factor evaluation index system is built with the weighted grey relation evaluation model which combines the subjective weighting process and the objective weighting process. The analysis conclusions of the four collieries of Zao Zhuang Coal Mining Co. Ltd show that the evaluation of colliery safety factors based on the weighted grey relation evaluation can make a good division and evaluation for various colliery safety factors, and also eliminate the gray characteristics the colliery safety system owns effectively, thus it can keep evaluation results objective and reasonable.

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Periodical:

Advanced Materials Research (Volumes 524-527)

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803-807

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Online since:

May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chang Baorong: Alternative view of grey relational analysis. The Journal of Grey System, 2001,13(1): 31-39.

Google Scholar

[2] Xiao Xinping, Li Deyang: New development of grey relational analysis. Discovery of Nature, 1996,15 (4): 50-56.

Google Scholar

[3] Luo Jun, Lv Tiansheng, Zhang Jialiang: Fuzzy Evaluation Process facing to Cable Robot. Journal of Shanghai Jiaotong University, 2001(12): 1776-1780.

Google Scholar

[4] Xiong Hejin, Chen Mianyun: Several Extension of Grey Relativity Formula. System Engineering and Electronic Technique, 2000,22(1): 8-10.

Google Scholar

[5] Hu Daocheng: Study of Colliery Safety Production Security System under the Perspective of Social Responsibility[D]. Anhui University, 2006.

Google Scholar

[6] He Wenzhang, Guo Peng: Discuss of some Problem on Grey Relation. Application of Statistics and Management, 1999,18(3):25-29.

Google Scholar

[7] Li Suoping: Study of the Multi Criteria Clustering Evaluation Model based on Grey Relation Analysis. Journal of Gansu Polytechnic University, 2000,26(4):100-103.

Google Scholar