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粗糙集约简算法

于 2020-06-17 发布文件大小:14KB

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采用离散邻域和模糊邻域两种方法对粗糙集数据进行属性约简，还包含求信息熵程序(Discrete neighborhood and fuzzy neighborhood methods are used to reduce attributes of rough set data, and an information entropy program is included.)

文件列表：

77433651rough-sets\rough sets\demo.m, 528 , 2015-12-27
77433651rough-sets\rough sets\entropy.m, 164 , 2005-05-08
77433651rough-sets\rough sets\entropy_interval.m, 682 , 2006-05-12
77433651rough-sets\rough sets\fs_con_N.m, 2442 , 2006-11-20
77433651rough-sets\rough sets\fs_entropy.asv, 2482 , 2006-10-13
77433651rough-sets\rough sets\fs_neighbor.m, 2744 , 2015-12-27
77433651rough-sets\rough sets\kersim.m, 230 , 2006-04-16
77433651rough-sets\rough sets\kersim_crisp.m, 94 , 2006-10-13
77433651rough-sets\rough sets\wine.mat, 9559 , 2006-04-01
77433651rough-sets\rough sets, 0 , 2015-12-28
77433651rough-sets, 0 , 2019-08-12

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