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Metal Mine ›› 2017, Vol. 46 ›› Issue (07): 25-30.

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Optimal Selection of Mining Method by Attribute Interval Recognition Model Based on Empowerment Combination Theory

Liu Yang1,Ye Yicheng1,2,Liu Xiaoyun1,Wang Qihu1,Yao Nan1   

  1. 1.College of Resource and Environmental Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;2.Hubei Key Laboratory for High-efficient Utilization and Agglomeration of Metallurgic Mineral Resources,Wuhan 430081,China
  • Online:2017-07-15 Published:2017-09-13

Abstract: In view of the fuzziness and uncertainty of the comprehensive evaluation index system of mining method,according to mine actual production experience and selection principle of evaluation index,14 indexes including loss rate,dilution rate,production capacity,stripping ratio,mining efficiency,mining cost,safety,ventilation condition,process complexity,adaptability,explosive consumption,construction difficulty,mechanization degree and labor intensity are regarded as the evaluation indexes.Firstly,based on attribute interval recognition theory,the attribute interval recognition model of comprehensive evaluation of mining method is established,the attribute measurement interval is transformed into comprehensive attribute measurement by using the averaging coefficient;then,the ideal combination weight is obtained by combing with the object and subjective weights by adopting multiplication synthesis method;finally,grade recognition and comparative ranking analysis of mining methods are carried out based on confidence criterion,gray close degree and grading criteria.The evaluation method proposed in this paper is applied to the optimal section of mining method of a mine,the synthetic superior degrees of each mining method are 1.766 3,2.125 9,2.506 1,1.662 8 and 1.503 0 respectively,which further show that the multi-layer strip subsequent filling mining method is the optimal one.The above study results of this paper further indicated that the evaluation model is feasible and credible for the optimal selection of mining method.

Key words: Attribute interval recognition theory, Empowerment combination, Optimal selection of mining method, Averaging coefficient, Grey close degree