北京科技大学学报2012，Vol.34Issue(5)：489-494,6.
基于模糊聚类及层次分析法的采矿方法综合评判优选
Synthetic judgment for mining method optimization based on fuzzy cluster analysis and analytic hierarchy process
摘要
Abstract
Primary selection of mining methods was handled as a classification problem with Chengchao Iron Mine as the engineering background.Fuzzy clustering was used to make primary classification in accordance with the similarity degree of technical factors.This can decrease the subjective arbitrariness of using the engineering analog method and improve the scientific accuracy of the primary selection.In consideration of economic benefit,resource utilization,labor productivity,safety and environment factors,a comprehensive hierarchy structure of evaluation indexes for mining method optimization was built to get a reasonable weight matrix.This provides a better solution for weight distribution in multi-factor decision-making when the judging indexes of mining programs show cross superiority.Finally,the optimal mining method was selected by fuzzy comprehensive judgment.关键词
采矿方法/优化/模糊聚类/层次分析法Key words
mining methods/optimization/fuzzy clustering/analytic hierarchy process(AHP)分类
矿山工程引用本文复制引用
谭玉叶,宋卫东,雷远坤,韩浩亮..基于模糊聚类及层次分析法的采矿方法综合评判优选[J].北京科技大学学报,2012,34(5):489-494,6.基金项目
“十一五”国家科技支撑重大计划资助项目 （）
