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Gold Science and Technology ›› 2017, Vol. 25 ›› Issue (3): 98-107.doi: 10.11872/j.issn.1005-2518.2017.03.098

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Stability Evaluation of Goafs Based on Combined Forecasting and Variable Precision Rough Fuzzy Set

DENG Gao1,YANG Shan 1,2   

  1. 1.School of Resources and Safety Engineering,Central South University,Changsha   410083,Hunan,China;
    2.Safety Science and Engineering Postdoctoral Research Station,Central South University,Changsha     410083,Hunan,China
  • Received:2016-01-20 Revised:2016-05-23 Online:2017-06-30 Published:2017-09-11

Abstract:

In order to accurately evaluate stability of mine goafs and analyze its main influential factors,according to the preliminary test data of goafs roof subsidence displacement,combination forecasting was applied to compose final predictive values of roof subsidence displacement by vary models,and then goafs stability was judged by resultant predictive values.Goafs stability was set as decision attribute,and its influential factors were set as condition attributes,variable precision rough fuzzy set was applied to probabilistically decision analyze assessment knowledge system of goafs stability,and 13 β- decision rules which β was 70% were got. It shows that goaf area,crustal stress size and temporary support way are decisive factors to goafs stability,and the classification quality of probabilistic decision rules is 62.96%,it is high,which can be references for stability judge and its law analysis.

Key words: goaf, stability evaluation, combined forecasting, BP neural network, membership function, mathematical model, rough set, fuzzy comprehensive evaluation method

CLC Number: 

  • TD325 
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