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Gold Science and Technology >

2019 , Vol. 27 >Issue 2: 181 - 188

DOI: https://doi.org/10.11872/j.issn.1005-2518.2019.02.181

Mining Technology and Mine Management

Research on Mining Method Optimization Based on Concept Lattice Rough Set

  • Shuliang WU , 1, 2 ,
  • Shan YANG 3 ,
  • Wengang HUANG 1
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  • 1. School of Earth Sciences，East China University of Technology，Nanchang 330013，Jiangxi，China
  • 2. Key Laboratory for Digital Land and Resources of Jiangxi Province，East China University of Technology，Nanchang 330013，Jiangxi，China
  • 3. School of Resources and Safety Engineering，Central South University，Changsha 410083，Hunan, China

Received date: 2018-03-05

  Revised date: 2018-08-13

  Online published: 2019-04-30

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Highlights

While making rational use of mineral resources，it is necessary to make rational selection of mining methods so as to improve the utilization rate of mineral resources.The selection of mining methods has a decisive impact on the overall improvement of mine production capacity，safety and economic benefits，and also has direct effects on the degree of environmental damage caused by mining production.Therefore，it is particularly important to choose a scientific and reasonable mining method.In order to make a correct selection of the mining method for the primary section，to improve the efficiency of mining method optimization and perfect the process of mining method optimization，a mining method evaluation system based on concept lattice rough set is proposed.The evaluation system is aiming at the problems of strong subjective arbitrariness and insufficient analysis of index information in current mining method optimization，combining quantitative methods with qualitative ones，analyzing the relationship between evaluation index and mining method.Firstly，according to the idea of constructing evaluation system by analytic hierarchy process (AHP)，many influencing factors of the selection of mining method were comprehensively considered and sliced，so as to obtain the evaluation index system of mining methods with complete information.Then，the improved rough sets were applied to establish mining method evaluation system.As attribute reduction is the kernel contents of rough set，using concept lattice as reduction tool can get the maximal reductions，and minimum decision rule set was generated by using reduced evaluation index.Finally，the model is applied to the evaluation of 15 mining methods，and the classification quality of 15 mining methods is 100 % according to the decision rule set.In order to verify the data processing ability of concept lattice for attribute reduction，the reduced concept lattice is compared with that of the traditional rough set.The results show that the concept lattice is more effective than the resolution matrix in attribute reduction.It can carry out deep data mining on evaluation indexes of mining methods.Based on the relationship between condition attributes and decision attribute，it can also reduce the indexes needed for evaluation of mining methods.As to the ability of rough set to deal with uncertainties，the minimum decision rule set generated by rough set can classify the pros and cons of alternative mining methods.The construction of mining method evaluation system by using the rough set based on concept lattice has a certain theoretical significance for mine production.

Cite this article

Shuliang WU , Shan YANG , Wengang HUANG . Research on Mining Method Optimization Based on Concept Lattice Rough Set[J]. Gold Science and Technology, 2019 , 27(2) : 181 -188 . DOI: 10.11872/j.issn.1005-2518.2019.02.181

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