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工程设计学报
Chinese Journal of Engineering Design  2013, Vol. 20 Issue (6): 453-458    DOI:
    
Research of dominance variable precision rough sets to build the mining program evaluation system
 CHEN  Jian-Hong, ZHOU  Han-Ling, WU  Shu-Liang, YANG  Shan, YU  Feng-Ling
Key Laboratory of Deep Metal Mineral Exploitation and Hazard Control，School of Resources and Safety Engineering，Central South University， Changsha 410083，China
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Abstract  Factors that affect the mining program are complex. In order to establish a scientific and rational evaluation system of mining program， the influencing factors were classified with fuzzy math dealing with the weights. Due to the noisy data， the dominance variable precision rough sets were applied to build the mining program evaluation system， the incompatibility among the rules could be distinguished， condition attribute was deducted， and the least preferences decision rules were generated， the quality of classification was 100%. Also， grey correlation theory was applied to the advantage analysis of each related attribution， and we got the importance degree of each factor for the program， improved the mining program evaluation system. The result indicates that the dominance variable precision rough set is more regular compared with classical rough set， and the mining program evaluation system is effective．

Key words： mining program      dominance variable precision rough sets      incompatibility      grey incident degree     
Published: 28 December 2013
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CHEN Jian-Hong
ZHOU Han-Ling
WU Shu-Liang
YANG Shan
YU Feng-Ling
Cite this article:

CHEN Jian-Hong, ZHOU Han-Ling, WU Shu-Liang, YANG Shan, YU Feng-Ling. Research of dominance variable precision rough sets to build the mining program evaluation system. Chinese Journal of Engineering Design, 2013, 20(6): 453-458.

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https://www.zjujournals.com/gcsjxb/     OR     https://www.zjujournals.com/gcsjxb/Y2013/V20/I6/453


优势变精度粗糙集构建采矿方案评价体系的研究

影响采矿方案的因素错综复杂，为了建立科学合理的采矿方案评价体系，首先将影响因素进行分级，利用模糊数学确定各级影响因素的权重.由于噪声数据的存在，采用优势变精度粗糙集构建采矿方案评价体系，可以辨识规则间的不相容性，对条件属性进行约简，并生成最少偏好规则集，分类质量为100%.然后利用灰色关联度理论对约简后的属性进行优势分析，得到各属性对于方案的重要程度，完善采矿方案评价体系.研究结果表明：优势变精度粗糙集相对于经典粗糙集更具规则性，构建采矿方案评价体系是科学有效的.

关键词： 采矿方案,  优势变精度粗糙集,  不相容性,  灰色关联度 
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