摘要
采矿方法选择直接影响到企业的投资和经济效益,通过建立采矿方案综合评价指标体系,在属性权重未知的情况下,运用区间数多属性决策和灰色关联分析进行采矿方法优选.在评选过程中,通过引入相关系数,确定指标权重的区间数表示.然后引入区间数距离,提出了基于正、负理想方案的相对贴近度,这样使得决策更合理、更全面.综合指标权重向量和相对贴近度,可得采矿方案隶属于最优的程度.最后,运用一种新的基于正态分布的区间数排序方法对采矿方案进行排序.将此优选方法应用于某矿山,在实际生产中取得了良好的技术经济效益,通过理论和实践,验证了该方法的可行性和有效性.
As mining scheme affects benefits of investment and economic for mine enterprise directly,the comprehensive evaluation index system of mining is established,and in the case of unknown weight,theories of multi-attribute decision making based on interval numbers and grey related analysis are used to optimize mining methods.During the process,the weights based on interval numbers of indices were obtained through correlation coefficient.Relative closeness based on positive and negative ideal schemes was proposed by introducing distance between interval numbers,which makes decision making more rational and more comprehensive.With consideration to both the weight vector of indices and the relative closeness,it can calculate memberships of mining methods can be calculated.Finally,a new method of ranking interval numbers based on normal distribution was proposed for optimization of mining method.This optimization method is applied to some mines,and it produces good technical and economic benefits.So the feasibility and effectiveness of this method is verified through theory and practice.
出处
《西安建筑科技大学学报（自然科学版）》
CSCD
北大核心
2010年第6期899-906,共8页
Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(50774092)
全国优秀博士学位论文专项资金资助(200449)
关键词
采矿方法
区间数
多属性决策
灰色关联分析
相关系数
正态分布
排序
mining method
interval numbers
multi-attribute decision making
grey related analysis
correlation coefficient
normal distribution
ranking
