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基于改进的AHP-TOPSIS评判模型的盛大铁矿采矿方法优选
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科技导报 | 研究论文 2014, 32(3): 25-28
基于改进的AHP-TOPSIS评判模型的盛大铁矿采矿方法优选
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赵国彦, 唐洋, 刘志祥, 彭康, 徐欣, 申燕元
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    中南大学资源与安全工程学院, 长沙 410083
Mining Method Optimization of Shengda Iron Ore Based on Improved AHP-TOPSIS Evaluation Model
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出版时间: 2014-01-28 doi: 10.3981/j.issn.1000-7857.2014.03.002
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为解决盛大铁矿低效开采的难题,运用改进的AHP-TOPSIS 综合评价指标体系模型,对5 个采矿方案进行综合评判优选。从经济、技术、安全3 方面综合考虑影响采矿方法的评判指标,通过改进的层次分析法客观地确定各评判指标的权重向量,结合逼近理想解的排序法原理,构建改进的AHP-TOPSIS 综合评判指标体系模型,基于评判指标计算出5 种采矿方案的综合优越度。结果表明,5 种采矿方案优越度依次为29%、28%、21%、22%、20%,其中分段接力退采分段充填采矿法为最优。
充填采矿法  /  AHP-TOPSIS  /  优越度
In order to solve the mining technical problem of low exploitation in Shengda iron ore, an improved AHP-TOPSIS comprehensive evaluation index system model was established to evaluate five kinds of mining methods. Considering the economy, technology and security, which impact the evaluation indexes of mining method, the weight matrix of the evaluation indexes was established according to the improved AHP method, and then the improved AHP-TOPSIS comprehensive evaluation model was established with the basic theory of TOPSIS. The degrees of mining method based on the comprehensive evaluation index were calculated. The results show that the synthetic superior degrees of the optional mining methods are 29%, 28%, 21%, 22%, 20%, and the first method named piecewise relay retrograded mining filling method is the optimal.
filling mining method  /  AHP-TOPSIS  /  superior degree
赵国彦, 唐洋, 刘志祥, 彭康, 徐欣, 申燕元. 基于改进的AHP-TOPSIS评判模型的盛大铁矿采矿方法优选. 科技导报, 2014 , 32 (3) : 25 -28 . DOI: 10.3981/j.issn.1000-7857.2014.03.002
ZHAO Guoyan, TANG Yang, LIU Zhixiang, PENG Kang, XU Xin, SHEN Yanyuan. Mining Method Optimization of Shengda Iron Ore Based on Improved AHP-TOPSIS Evaluation Model[J]. Science & Technology Review, 2014 , 32 (3) : 25 -28 . DOI: 10.3981/j.issn.1000-7857.2014.03.002
2014年第32卷第3期
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doi: 10.3981/j.issn.1000-7857.2014.03.002
  • 接收时间:2013-06-18
  • 首发时间:2014-02-15
  • 出版时间:2014-01-28
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  • 收稿日期:2013-06-18
  • 修回日期:2013-12-20
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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