粗糙集理论分析及其在农业数据中的应用

从数据库中挖掘有用信息,将难理解的纯数据变为容易利用的规则,从而为以后的决策提供依据。以粗糙集理论和规则提取算法为基础,将基于信息量的粗糙集属性约简算法和规则提取算法集成起来提出一种集成算法,应用粗糙集约简掉冗余属性,然后利用规则提取算法得出有效规则。将此集成算法应用于农业领域,得出规则,并且效果良好,理论分析和应用都表明了本算法的有效性和实用性。此集成算法可以应用于各种大型数据库中,从中得出有效规则,让历史数据为以后的决策服务。

Rough Set Theory Analysis and Its Application in Agricultural Field

To dig useful information from database,and get the easy using rules from difficult understand pure data,then offer future decision information according to the rules obtained in the system.Based on the rough set theory and rules extraction algorithm,an integrated algorithm is proposed.Using rough set theory the redundant attribute can be reduced,and then the efficient rules are obtained according to the rules extraction algorithm.The data in agricultural fields is analyzed by this algorithm and effective rules are obtained.The analysis in theory and the applications show that it is not only effective but also feasible.The algorithm can be widely used in all kinds of large databases,from which the effective rules can be obtained.Then the history's data can serve the future decision-making.