Volume 36 Issue 6
Dec.  2008
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XIAO Yun-hua, WANG Qing, CHEN Jian-ping, ZHANG Peng, QUE Jin-sheng. Application of data fusion in evaluation of engineering quality of rock mass based on rough sets and support vector machine[J]. COAL GEOLOGY & EXPLORATION, 2008, 36(6): 49-53.
Citation: XIAO Yun-hua, WANG Qing, CHEN Jian-ping, ZHANG Peng, QUE Jin-sheng. Application of data fusion in evaluation of engineering quality of rock mass based on rough sets and support vector machine[J]. COAL GEOLOGY & EXPLORATION, 2008, 36(6): 49-53.
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Application of data fusion in evaluation of engineering quality of rock mass based on rough sets and support vector machine

  • 1. Constructioin Engineering College, Jilin University, Changchun 130026, China;

  • 2. North China Power Engineering(Beijing) CO., LTD., Beijing 100011, China

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  • Received Date: December 15, 2007
  • Available Online: March 12, 2023
    Graphical Abstract
    • Abstract
  • Based on data fusion the method which combines the rough sets theory and the support vector machine theory is applied in assessment of engineering quality of rock mass.Firstly,applying the rough sets theory the sample data is reduced.Removing the redundant characteristics,the concise expression can be formed expressing the relation of the factors and the engineering quality of rock mass,and new sample data be formed.Then applying the support vector machine study the new sample data to establish the support vector machine evaluation model.Through application in the example,it indicates that the model is scientific and practical,and support vector machine is a feasible method in the evaluation of tunnel rock quality.
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