有色金属科学与工程2018，Vol.9Issue(2)：70-74,5.DOI:10.13264/j.cnki.ysjskx.2018.02.012
基于博弈论组合赋权TOPSIS法的深部进路参数优选
Optimization of structural parameters of deep stope based on combination weighting game theory
摘要
Abstract
The Scale-Extending AHP method and the entropy method are used to calculate the subjective and objective weights of each index. Based on the game theory, the combination weighting model is established to calculate the combined weights of the evaluation indexes. Finally, Evaluation Model of Deep Stope Structure Arrangement is created based on game theory combined weights TOPSIS Method. According to the example calculation, the interrelated degree of each scheme is calculated as follows: scheme one, 58.05 %; scheme two, 41.95 %;scheme three,41.61 %;scheme four,56.87 %.So the best option scheme is the scheme one for which accesses to stopes is 4.5×4 m with pillar non-glued filling. Compared with the linear weighting method and the multiplicative normalization method, the results show that the advantages and disadvantages of the four schemes obtained by the three combinations of TOPSIS are the same, and the results of scheme one are the best, followed by the scheme Second, the program three, which demonstrate the game theory combined weight model is reasonable and feasible.关键词
标度扩展AHP法/熵值法/博弈论组合赋权/TOPSIS法/深部采场结构参数优选Key words
Scale-Extending AHP/entropy method/combined weight method based on game theory/the methods of TOPSIS/optimization of structural parameters of deep stop分类
矿业与冶金引用本文复制引用
赵奎,刘维发,曾鹏,张亮..基于博弈论组合赋权TOPSIS法的深部进路参数优选[J].有色金属科学与工程,2018,9(2):70-74,5.基金项目
国家教育部资助项目(413045) （413045）
江西省"5511"优势科技创新团队项目(20165BCB19012) （20165BCB19012）
江西省主要学科学术和技术带头人培养计划项目(20153BCB22004) （20153BCB22004）
