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基于AHP-TOPSIS的采矿方法优化
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陈沅江, 尹进
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    中南大学资源与安全工程学院,长沙 410083
Optimization of mining method based on AHP-TOPSIS
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出版时间: 2013-03-08 doi: 10.3981/j.issn.1000-7857.2013.07.009
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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.
采矿方法优化  /  层次分析法  /  理性点法  /  三山岛金矿
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.
optimization of mining method  /  AHP  /  TOPSIS  /  Sanshandao Gold Mine
陈沅江;尹进. 基于AHP-TOPSIS的采矿方法优化. 科技导报, 2013 , 31 (7) : 57 -60 . DOI: 10.3981/j.issn.1000-7857.2013.07.009
CHEN Yuanjiang;YIN Jin. Optimization of mining method based on AHP-TOPSIS[J]. Science & Technology Review, 2013 , 31 (7) : 57 -60 . DOI: 10.3981/j.issn.1000-7857.2013.07.009
2013年第31卷第7期
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doi: 10.3981/j.issn.1000-7857.2013.07.009
  • 接收时间:2012-12-04
  • 首发时间:2013-03-08
  • 出版时间:2013-03-08
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  • 收稿日期:2012-12-04
  • 修回日期:2012-12-27
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2种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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