基于AHP-TOPSIS的采矿方法优化

 根据层次分析法(AHP)和理想点法(TOPSIS),建立采矿方法优化排序的数学模型,该数学模型采用德尔菲法(专家意见法)确定采矿方法优化排序的决策指标,如倾角、厚度和顶板稳固性等;将待选方案指标转换为判断矩阵,通过层次分析法确定判断矩阵中各指标权重,然后用理想点法进行优化排序,得到加权标准化的决策矩阵,从而计算出各方案的相对贴近度.以三山岛金矿采矿方法的优化方案为例,3种采矿方法的相对逼近度为0.1467,0.5168,0.9706,以此确定第3种方法最优,进而验证模型的可行性,为矿山采矿方法的优化提供有效参考.

Optimization of Mining Method Based on AHP-TOPSIS

Based on the Analytic Hierarchy Process (AHP) and the ideal point method (TOPSIS), the mathematical model for optimization of the mining method is established. In the mathematical model, the Delphi method (the expert opinion method) is used to determine the mining method's optimal sort of the decision-making indicators, such as the angle, the thickness and the roof soundness. First, the candidate program indicators are put into the judgment matrix, through the AHP, the weight of each index is determined in the judgment matrix. Then, the sorting is optimized by the ideal point method, to obtain the weighted standardized decision-making matrix. Finally, the relative closeness of the schemes is obtained by the ideal point method, The synthetic superior degree of mining methods in Sanshandao Gold Mine are 0.1467, 0.5168, 0.9706, and the third mining model is in the first place, which verifies the feasibility of the model, to serve as an effective reference for the optimization of mining methods.