将粗糙集应用于数据挖掘领域，能提高对大型数据库中的不完整数据进行分析和学习的能力，具有广泛的应用前景和实用价值。
Applying rough theory in data mining field can improve the analyzing and learning ability for incomplete data of large database, which has extensive applied prospect and applied value.
本文介绍了粗糙集理论基本内容属性约简，并将其应用在林业信息管理中，通过实例说明提高数据分析能力的方法。
Attribute reduction, a basic conception in rough set theory, is introduced at first, then applied to forestry information management. The ability of data analysis is enhanced by this way.
并就评估方案集进行计算，绘出抗无源干扰能力最大的X跟踪波段雷达最大发现距离随箔条云距离及箔条云密度变化曲线，并分析其结果。
And also calculates evaluation set. The density movement curve to the farthest discovering distance of X wave band radar is drawn and the result is analyzed.
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