codeofroughset

  粗糙集的基本算法，包括数据补齐，属性约简，值约简，规则生成，非常实用。(Rough set theory is a new mathematical approach to imperfect knowledge. The problem of imperfect knowledge has been tackled for a long time by philosophers, logicians and mathematicians. Recently it became also a crucial issue for computer scientists, particularly in the area of artificial intelligence. )

codeofroughset
..............\data reduction with fuzzy rough sets or fuzzy mutual information
..............\................................................................\demo.m,495,2006-11-20
..............\................................................................\entropy.m,164,2005-05-08
..............\................................................................\entropy_interval.m,682,2006-05-12
..............\................................................................\fs_con_N.m,2442,2006-11-20
..............\................................................................\fs_entropy.asv,2482,2006-10-13
..............\................................................................\fs_entropy.m,2881,2006-10-13
..............\................................................................\fs_neighbor.asv,2692,2006-10-13
..............\................................................................\fs_neighbor.m,2726,2006-10-13
..............\................................................................\kersim.m,230,2006-04-16
..............\................................................................\kersim_crisp.m,94,2006-10-13
..............\fuzzy preference rough set based feature evaluation and selection
..............\.................................................................\FGC.m,2189,2008-03-25
..............\.................................................................\FLC.m,1257,2008-03-25
..............\.................................................................\FS_PL_FRS.m,2174,2008-03-25
..............\.................................................................\FS_PL_RS.m,1953,2008-03-25
..............\.................................................................\FUC.m,1269,2008-03-19
..............\.................................................................\GC.m,2026,2008-03-25
..............\.................................................................\LC.m,1164,2008-03-25
..............\.................................................................\UC.m,1195,2008-03-25
..............\kernelized fuzzy rough set based feature evaluation selection
..............\.............................................................\certainty_s_gs.m,1263,2007-12-19
..............\.............................................................\certainty_theta_gs.m,1320,2007-12-19
..............\.............................................................\dependency_s_gs.m,1184,2007-12-19
..............\.............................................................\dependency_theta_gs.m,1208,2007-12-19
..............\.............................................................\FS_GKFS.m,2562,2007-12-19
..............\.............................................................\Ranking heterogeneous features with mRMR and mutual information
..............\.............................................................\...............................................................\MI_mRMR.m,4688,2008-10-08
..............\KNN classifier
..............\..............\KNN.m,1375,2006-06-18
..............\neighborhood classifier
..............\.......................\neighborhood classifier
..............\.......................\.......................\KNN.m,1780,2006-12-21
..............\.......................\.......................\NEC.m,1794,2006-12-07
..............\neighborhood mutual information based feature evaluation and selection
..............\......................................................................\FS_FW_NE.m,2226,2008-10-08
..............\......................................................................\NMI.m,649,2008-10-08
..............\Neighborhood rough set based feature evaluation and reduction
..............\.............................................................\clsf_dpd.m,1456,2008-10-08
..............\.............................................................\clsf_dpd_fast.m,1590,2008-10-08
..............\.............................................................\clsf_dpd_fast2.m,1833,2008-10-08
..............\.............................................................\clsf_dpd_fast_3.m,1530,2008-10-08
..............\.............................................................\NRS_FW_FS.m,3331,2008-10-08