JIA Xingwang, WANG Enyuan. Coal Burst Tendency Classification Based on Attribute Mathematical Model[J]. Safety in Coal Mines, 2014, 45(4): 156-158,162.
    Citation: JIA Xingwang, WANG Enyuan. Coal Burst Tendency Classification Based on Attribute Mathematical Model[J]. Safety in Coal Mines, 2014, 45(4): 156-158,162.

    Coal Burst Tendency Classification Based on Attribute Mathematical Model

    • Aiming at the shortcomings in discrimination method of coal burst tendency, a coal burst tendency attribute comprehensive evaluation model is built based on mathematical theory and method. Elastic energy index of coal, impact energy index, uniaxial compressive strength, dynamic failure time, four burst indicators are selected as a coal seam tendentious evaluation of model. It constructs a various indicators' attribute measure function, defines the single-indicators attribute measure and the consolidated attribute measure method of calculating by the application of attribute mathematical theory. At last, it adopts a similar count and similarity rights law to objectively determine various indicators' weight coefficients, and uses the confidence criterion to conduct attribute for recognition. The result of the evaluation is same with the comparison between the methods of weight-ideal point method as well as fuzzy comprehensive evaluation method, which proves that the method is effective.
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