@article{2383,
  author = {Xiaoling Ke, Amal Mougharbel},
  title = {Ecological Security Evaluation for Coal Mining Areas based on Fuzzy c-means Algorithm - An Empirical Study of China Coal Mine Company},
  journal = {Journal of Information Security Research},
  year = {2017},
  volume = {8},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jisr/fulltext/v8n3/jisrv8n3_1.pdf},
  abstract = {Using P-S-R Model as a framework, this paper selects fifteen typical indicators for evaluating coal mine
ecological security, including employee number, raw coal production, industrial waste water discharge and so on, constructs
an ecological security evaluation model for coal mining areas based on fuzzy c-means algorithm, collects data of ecological
security in a coal mining company in Zhengzhou from 2007 to 2013, processes the data in the evaluation model, and obtains
results of ecological security in the recent seven years. In order to test the validity of the evaluative results obtained from the
model, an important subsidiary’s net assets per share data from 2007 to 2013 have been analyzed. Through test and analysis
of the results of the model, a proposal to improve ecological security in the coal mining area has been put forward.},
}