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基于AHP-TOPSIS的露天转地下采矿方案优选 被引量:10

Mining method optimization of transition from open pit to underground mining based on AHP-TOPSIS
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摘要 为了确定合适的露天转地下采矿方案,建立露天转地下采矿方案综合评判指标体系,运用层次分析法(AHP)和逼近理想解的排序法(TOPSIS)基本理论建立露天转地下采矿方案优选的AHP-TOPSIS综合评判模型。从经济、技术、安全三方面综合考虑影响露天转地下采矿方案的评判指标体系,通过AHP确定各指标的权重,再结合逼近理想解的排序法原理构建AHP-TOPSIS综合评判指标模型,利用TOPSIS原理计算各方案基于评判指标的综合优越度。以黄麦岭磷矿露天转地下采矿方案优选为例,得到各拟选方案的综合优越度分别为67.39%、46.45%、52.14%,从而确定方案I为最优。研究结果表明:该方法可以综合考虑各项评价指标对评价体系的影响,并进行定量计算。 To determine the appropriate mining method of transition from open pit to underground mining, a comprehensive evaluation index system was established, then the analytical hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS) basic theory were used to optimaze the mining methods. During the process, the evaluation indexes work- ing on the mining method of transition from open pit to underground mining were comprehensively considered from economy, technic and safety. The weight of the evaluation indexes were calculated by AHP, then the AHP-TOPSIS comprehensive evaluation index model was established combined with TOPSIS. Finally, the TOPSIS was used to calculate the superior degree of mining methods based on the comprehensive evaluation indexs. Taking the mining method optimization of Huang- mailing Phosphate Mine for example, the superior degrees of the optional mining methods are 67.39% , 46.45% and 52. 14% respectively according to this method, and the method I is opti- mal. The results show that this method can comprehensively consider all the indexes's influence fac- tors to the evaluation system and these factors can be quantitatively calculated.
出处 《广西大学学报(自然科学版)》 CAS CSCD 北大核心 2012年第6期1273-1279,共7页 Journal of Guangxi University(Natural Science Edition)
基金 科技部"十一五"科技支撑计划资助项目(2008BAB32B03)
关键词 露天转地下 采矿方案 层次分析法 逼近理想解的排序法 综合评判模型 评判指标 transition from open-pit mining to underground mining mining method analytic hier- archy process(AHP) technique for order preference by similarity to ideal solution(TOPSIS) com-prehensive evaluation model evaluation indexs
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