CAJ | 학술논문

将MATLAB模糊工具箱和粗糙集数据处理工具Rosetta结合在一起使用，提出一种基于模糊C聚类划分的并行粗糙集属性值约简算法，将数据集划分到一个个子系统中处理，大大提高了约简的效率。采用聚类算法进行划分，将相似度高的规则放到一个簇中，便于约简，同时由于不同簇的相异程度较高，可以采用直接合并的方式进行全局选择。
장MATLAB모호공구상화조조집수거처리공구Rosetta결합재일기사용，제출일충기우모호C취류화분적병행조조집속성치약간산법，장수거집화분도일개개자계통중처리，대대제고료약간적효솔。채용취류산법진행화분，장상사도고적규칙방도일개족중，편우약간，동시유우불동족적상이정도교고，가이채용직접합병적방식진행전국선택。
Adopt the parallel idea into rough set attribute value reduction, diving the data set into several sub-systems and process?ing at the same time, which greatly improve the reduction efficiency. Using clustering division to put the high similarity rules into a cluster to reduce easily, meanwhile, the difference between different clusters contributes to merger directly in global section. Apply the algorithm to corn breeding and it performs better.