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Gold Science and Technology ›› 2017, Vol. 25 ›› Issue (6): 75-82.doi: 10.11872/j.issn.1005-2518.2017.06.075

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Mining Method Optimization Based on Game Theory and Relative Entropy TOPSIS

CHEN Yi,CHEN Jianhong   

  1. School of Resources and Safety Engineering,Central South University,Changsha    410083,Hunan,China
  • Received:2017-07-07 Revised:2017-08-18 Online:2017-12-30 Published:2018-05-18

Abstract:

The selection of mining method is one of the most important production and management decisions to mining enterprises.In order to ensure the decision-making results are scientific and effective,based on the basic theory of game theory and TOPSIS method,using the analytic hierarchy process(AHP) and the information entropy method to calculate the weights of evaluation indexes respectively,and using the game theory aggregation model to weight and aggregate the results of the single weight calculation methods to get the comprehensive weights of the evaluation indexs.And then,a TOPSIS model based on relative entropy was used to calculate the relative closeness of each mining method.According to the four kinds of mining methods in a mine,based on the AHP principles to select 10 key indicators from the economic,technical and security,which including the cost of mining and filling,the ore recovery rate and the ore dilution rate and so on,to establish the comprehensive evaluation index system of mining method selection.The relative closeness degree of the four kinds of mining methods was calculated,the results show that the relative closeness degrees of the four optional mining methods are 0.420,0.401,0.492,0.115,and the third is the optional.The conclusion is consistent with the actual situation of mine production,which proves that the method is scientific and effective.

Key words:  game theory, analytic hierarchy process, information entropy, comprehensive evaluation index, relative entropy TOPSIS, relative closeness degree, optimization of mining method

CLC Number: 

  • TS802

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