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中文摘要：
为了准确计算采空区各个分级指标的权重,应用粗糙集理论对原始数据挖掘,将权重确定问题转化为粗糙集中属性重要性问题,通过计算分级指标与评判结果的粗糙依赖度来确定分级指标的权重。该方法克服了传统权重确定方法的主观性,从而提高了采空区分级的精度。通过广东大宝山采空区实例说明该方法合理、有效,为优化与改进采空区分级指标体系提供了合理的依据。
英文摘要：
In order to compute the weight factors of classification index for underground goaf accurately,rough sets theory is used to analyze the raw data,the significance of attributes among rough sets is estimated instead of weight determination.Weight factor is determined by calculating rough dependability between indexes and appraisement results.The approach overcomes the subjectivity in traditional weight determination method and improves the precision of underground goaf classification.It is reasonable for optimizing algorithm of underground goaf classification index system.Taking underground goaf in Dabaoshan Mine as an example,this new method proves to be effective and rational.
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