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基于逼近理想解排序的采矿方法选择 被引量:15

Mining Method Based on Technique for Order Preference by Similarity to Ideal Solution
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摘要 综合考虑影响采矿方案的技术、经济、安全指标,利用层次分析原理建立采矿方案综合评价指标体系,采用信息熵确定评价指标的权重,运用逼近理想解排序法对多种方案进行综合评价,计算出各方案的综合优越度。最后,将该方法用于工程实例,得出浅孔留矿法、下向分层胶结充填采矿法、上向分层胶结充填采矿法和上向进路胶结充填采矿法的综合优越度依次为77.3%、23.1%、83.1%和53.8%,从而确定上向分层胶结充填采矿法为优,此结果与突变级数法的评价结果一致。 By taking into account those factors influencing mining method,such as technical,economical and safety indexes,a comprehensive assessment index system was constructed based on the Analytic Hierarchy Process(AHP).The weights of the index were calculated by using information entropy.Based on the comprehensive assessment with the technique for order preference by similarity to ideal solution(TOPSIS) for several mining methods,an order of preference was calculated for each mining method.Finally,by applying TOPSIS into practical engineering project,the comprehensive degrees of preference for the proposed mining methods,including short-hole shrinkage stoping,descending slicing with cemented backfill,upward slicing with cemented backfill and upward drift stoping with cemented backfill,were 77.3%,23.1%,83.1% and 53.8% respectively.It is concluded that mining method of upward slicing with cemented backfill proves to be the best among them,which is also consistent with the result obtained with catastrophe progression method.
出处 《矿冶工程》 CAS CSCD 北大核心 2010年第3期12-15,共4页 Mining and Metallurgical Engineering
基金 湖南省重点科技攻关项目(05sk2008)
关键词 采矿方法 择优 逼近理想解排序 熵权 综合评价 mining method preference technique for order preference by similarity to ideal solution(TOPSIS) entropy weight comprehensive assessment
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