The selection of an underground mining method using the Fuzzy TOPSIS method: a case study in the Kamar Mahdi II fluorine mine

IF 1.3 Q3 Earth and Planetary Sciences Mining Science Pub Date : 2017-01-01 DOI:10.5277/MSC172410
Mohammad Javanshirgiv, Mohsen Safari
{"title":"The selection of an underground mining method using the Fuzzy TOPSIS method: a case study in the Kamar Mahdi II fluorine mine","authors":"Mohammad Javanshirgiv, Mohsen Safari","doi":"10.5277/MSC172410","DOIUrl":null,"url":null,"abstract":"The selection of the mining method is one of the most crucial decisions in the stage of designing mines. This depends on some underlying parameters such as economic, technical and efficiency properties. The parameters may be collected and examined in a wide range of methods including core drilling and developmental planning of an active mine. The process of selecting the mining method can be described as multi-criterion decision-making due to the several factors involved in the evaluation process. Through the multi-criterion decision-making, the structure of problems is analyzed. However, multicriteria decision-making (MCDM) is often criticized because of its inability to handle uncertain and imprecise problems. Thus, the fuzzy decision-making is proposed as a powerful tool. Therefore in this paper, the fuzzy technique for order performance by similarity to ideal solution (Fuzzy TOPSIS) is used to select the best mining method among square-set stoping, cut-and-fill stoping, shrinkage stoping and sublevel stoping at the Kamar Mahdi fluorine mine based on 14 criteria such as deposit thickness, deposit dip, grade distribution, joint spacing in deposit and hanging wall as well as the cost of mining. Other criteria with the same importance for the four alternatives are neglected. Finally, the alternatives are ranked and the shrinkage stoping is proposed as the optimal mining method for this mine.","PeriodicalId":43629,"journal":{"name":"Mining Science","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mining Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5277/MSC172410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 19

Abstract

The selection of the mining method is one of the most crucial decisions in the stage of designing mines. This depends on some underlying parameters such as economic, technical and efficiency properties. The parameters may be collected and examined in a wide range of methods including core drilling and developmental planning of an active mine. The process of selecting the mining method can be described as multi-criterion decision-making due to the several factors involved in the evaluation process. Through the multi-criterion decision-making, the structure of problems is analyzed. However, multicriteria decision-making (MCDM) is often criticized because of its inability to handle uncertain and imprecise problems. Thus, the fuzzy decision-making is proposed as a powerful tool. Therefore in this paper, the fuzzy technique for order performance by similarity to ideal solution (Fuzzy TOPSIS) is used to select the best mining method among square-set stoping, cut-and-fill stoping, shrinkage stoping and sublevel stoping at the Kamar Mahdi fluorine mine based on 14 criteria such as deposit thickness, deposit dip, grade distribution, joint spacing in deposit and hanging wall as well as the cost of mining. Other criteria with the same importance for the four alternatives are neglected. Finally, the alternatives are ranked and the shrinkage stoping is proposed as the optimal mining method for this mine.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用模糊TOPSIS法选择地下开采方法——以Kamar Mahdi II氟矿为例
采矿方法的选择是矿山设计阶段最关键的决策之一。这取决于一些基本参数,如经济、技术和效率特性。这些参数可以通过多种方法收集和检验,包括岩心钻探和活动矿山的开发规划。由于评价过程涉及多个因素,因此选择采矿方法的过程可以描述为多准则决策。通过多准则决策,分析了问题的结构。然而,多标准决策(MCDM)由于无法处理不确定和不精确的问题而经常受到批评。因此,模糊决策是一种强有力的工具。因此,本文采用近似理想解排序性能模糊技术(fuzzy TOPSIS),根据矿床厚度、矿床倾角、品位分布、矿床与上盘联合间距以及开采成本等14个指标,对Kamar Mahdi氟矿进行方形充填法、回采法、回采法和分段回采法的优选。其他对这四种选择同样重要的标准被忽略了。最后对备选方案进行了排序,提出了该矿山的最优回采方法为收缩回采法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Mining Science
Mining Science MINING & MINERAL PROCESSING-
CiteScore
2.40
自引率
0.00%
发文量
0
审稿时长
24 weeks
期刊介绍: Mining Scince. Scientific Papers of the Department Geoengineering, Mining and Geology of the Wroclaw University of Technology. The journal publishes original papers on mining and geology, geo-engineering and the related issues. The journal is devoted to the following topics: fundamental research in mining, underground and open-cast mining technologies, blasting technology, design and construction of mines, geomechanics and geotechnical engineering, mine ventilation, fluid mechanics and its application in mining, mining machinery and condition monitoring, mineral processing, environmental protection and waste utilization. The journal also accepts papers concerns geoengineering which is a sciences covering mining construction, geotechnical engineering, GIS, and earth sciences.
期刊最新文献
Analyzing method to evaluate effect of roadway pressure relief Influence of pick layouts on the performance of bolter miner cutting head Optimizing splice geometry in multiply conveyor belts with respect to stress in adhesive bonds Non-destructive characterisation of mortars reinforced with various fibres exposed to high temperature Application of hydrochemistry for inrush water source identification in coal mine: approach based on statistical analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1