摘要
决策采矿方法选择的因素很多,传统的经验类比法具有较大的主观随意性、不确定性。模糊数学优选法综合考虑了影响采矿方法的定量与定性指标。如定量因素指标有矿块的生产能力,矿石损失率和贫化率等,定性因素指标如作业安全性,工艺复杂情况等。通过构建了指标隶属度矩阵和权重矩阵,然后应用模糊数学矩阵最优化决策原理进行综合评判,根据隶属度最大原则确定出方案的优先顺序,从而得到最优方案。文中的某矿优选结果说明,用模糊数学优选出的采矿方案具有较强的实用性,实现了安全,高效的目的,所以证明模糊数学是可靠的。
There are many factors determining selection of mining method,the traditional empirical analogy method has great subjectivity and uncertainty,considering the impact of quantitative and qualitative indicators influencing mining methods such as ore production capacity,mining efficiency,ore loss and ore dilution rate,stripping ratio,the cost of mining,ventilation operation safety,complex process. The index membership matrix and weight matrix are constructed. Then the application of fuzzy mathematics with comprehensive judgement matrix optimization principle,according to the principle of maximum membership degree determines the priority scheme.The optimal scheme of a mine optimization results in this paper shows that it has strong practicability to use the fuzzy optimization to achieve a safe,effective mining scheme,so that fuzzy mathematics is reliable.
作者
何宇翔
杨溢
张志华
曹俊阳
HE Yu-xiang;YANG Yi;ZHANG Zhi-hua;CAO Jun-yang(Kunming University of Science and Technology,Kunming 650093,Chin)
出处
《矿冶》
CAS
2018年第4期41-44,共4页
Mining And Metallurgy
关键词
模糊数学
隶属度
权重矩阵
模糊综合评判
采矿方法
fuzzy mathematics
membership degree
weight matrix
fuzzy comprehensive evaluation
mining method
