Citation

Ma J, Dai H. Safety Sci. 2017; 93: 86-95.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.ssci.2016.11.012

PMID

unavailable

Abstract

Safety management is the most important issue in global coal mine enterprises. In order to effectively identify and control hazard sources, it's critical to establish a scientific and rational warning index system of coal mine safety on collaborative management. To this end, first, a basic structure of warning index system will be established. Second, a three-stage semiquantitative approach will be proposed, which utilizes AHP, Entropy method, and multi-granularity non-equilibrium semantic treatment method to determine the weights of indexes. Finally, the method will be applied to calculate the weights of warning index system for coal mine safety. This method will provide a good means to construct warning index system for coal mine safety based on collaborative management. By the method, coal companies can enhance the efficiency, improve the level and reduce the cost of security management.

Language: en