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基于突变级数法的采矿方法优选
引用本文:周立云,陈日辉. 基于突变级数法的采矿方法优选[J]. 矿冶, 2017, 26(6): 18-21
作者姓名:周立云  陈日辉
作者单位:昆明理工大学 国土资源工程学院,昆明理工大学 国土资源工程学院
摘    要:提出突变级数法去完成某特定矿山开采方法优选,它主要应用的是突变理论,还有模糊数学的知识。为了证实突变级数法相较于其它采矿方法优选有其特定的优势,通过在采矿方法优选过程中进行赋值计算,最终得出了0.978、0.852、0.883这3种采矿方法的突变级数,确立了方法 I为最优采矿方法。具体过程是建立一个采矿方法综合优越度评判模型,从影响采矿方法的三个方面来考量,安全、生产能力和经济技术,从而建立评价指标体系,通过进行无量纲化处理及运用相对二元比较法,分别得到定量型和非定量型指标的模糊隶属函数值,再由归一公式进行量化递归处理得出结果。

关 键 词:突变级数法  采矿方法优选  模糊隶属函数值  突变级数
收稿时间:2017-03-12
修稿时间:2017-04-04

Mining method optimization based on catastrophe progression method
Zhou Li-yun and CHEN Ri-hui. Mining method optimization based on catastrophe progression method[J]. Mining & Metallurgy, 2017, 26(6): 18-21
Authors:Zhou Li-yun and CHEN Ri-hui
Affiliation:Faculty of Land Resources Engineering,Kunming University of Science and Technology,Faculty of Land Resources Engineering,Kunming University of Science and Technology
Abstract:In order to determine the optimal mining method for Aerhada mine, a mining method superior comprehensive degree evaluation model was established using the mutation progression method combined by catastrophe theory and fuzzy mathematics, and consider the aspects affecting the mining method of evaluation index system from safety, production capacity, economic technology. By dimensionless processing and using relative binary comparison method, respectively acquiring fuzzy membership function value of quantitative and the quantitative index. According to the normalized quantitative recursive formula for computing, the mutation progression of three mining methods are 0.978, 0.852, 0.883, respectively, and the methods I is the optimal. The results are consistent with that of the method combined by the analytic hierarchy process (AHP) and fuzzy mathematics, indicating it is reasonable and feasible that the mutation progression method is applied to the optimization of mining method.
Keywords:catastrophe progression method   mining method optimization   fuzzy membership function values   mutations in the series
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