| 引用本文: | 叶义成,姚囝,王其虎.采用区间数排序的采矿方法优选模型及其应用[J].控制理论与应用,2016,33(8):1015~1022.[点击复制] |
| YE Yi-cheng,YAO Nan,WANG Qi-hu.Mining method optimal selection model and its application by using interval numbers ranking method[J].Control Theory and Technology,2016,33(8):1015~1022.[点击复制] |
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| 采用区间数排序的采矿方法优选模型及其应用 |
| Mining method optimal selection model and its application by using interval numbers ranking method |
| 摘要点击 2390 全文点击 1051 投稿时间：2015-07-20 修订日期：2016-07-30 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2016.50632 |
| 2016,33(8):1015-1022 |
| 中文关键词 决策 采矿方法优选 区间数 优势度函数 排序 |
| 英文关键词 decision making mining method optimal selection interval number advantage degree function ranking |
| 基金项目 国家“十二五”科技支撑计划项目(2011BAB05B03), 国家自然科学基金项目(51204127)资助. |
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| 中文摘要 |
| 针对采矿方法优选多属性决策中评价指标权重值难以确定和区间数排序难的问题, 通过统计分析大量专
家评价指标及其权重值, 提出了基于专家经验统计的评价指标区间数权重值确定法; 定义了有限个区间数排序时
的目标区间数, 解析了基于高斯平面直角坐标系的区间数与目标区间数二维关系. 在此基础上, 基于平面几何和极
限的原理, 定义了可实现对有限个区间数及同中轴区间数排序的区间数优势度函数, 进而给出了该基于二维信息的
区间数排序方法在多属性决策中的应用步骤. 最后, 通过采矿方法优选多属性决策实例验证了该方法的可行性和
有效性. |
| 英文摘要 |
| In order to solve the problems of difficulty in evaluation indexes values determination and the difficulty of
ranking interval numbers during the optimal selection of mining method in multiple attribute decision making, the intervalnumber-
weights of evaluation indexes determination method based on the statistics of experts’ experiences was proposed
after numerous mining experts’evaluation indexes and their values were counted and analyzed. The target interval number
was defined during ranking finite interval numbers, and two-dimensional relations between interval numbers and the target
interval number were analyzed which based on interval numbers be indicated in the Gauss-Krueger plane rectangular
coordinate system. On the basic of these, the advantage degree function of interval numbers which can rank finite interval
numbers and interval numbers with equal symmetry axis was defined based on the principles of geometry and limits,
then the applying procedures of ranking interval numbers in multiple attribute decision making based on two-dimensional
information were given. At last, the feasibility and effectiveness of this method were verified through a mining method
optimal selection multiple attribute decision making example. |
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