粗糙集matlab程序

[{"title":"（ 19 个子文件 1.67MB ） 粗糙集matlab程序","children":[{"title":"fs_entropy.asv <span style='color:#111;'> 2.42KB </span>","children":null,"spread":false},{"title":"fs_con_N.m <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"demo.m <span style='color:#111;'> 495B </span>","children":null,"spread":false},{"title":"Fuzzy Probabilistic Approximation Spaces and Their Information Measures.pdf <span style='color:#111;'> 375.79KB </span>","children":null,"spread":false},{"title":"kersim.m <span style='color:#111;'> 230B </span>","children":null,"spread":false},{"title":"uncertainty measures for fuzzy relations and their applications.pdf <span style='color:#111;'> 288.21KB </span>","children":null,"spread":false},{"title":"Consistency based attribute reduction(PAKDD2007).pdf <span style='color:#111;'> 178.92KB </span>","children":null,"spread":false},{"title":"neighborhood classifiers.pdf <span style='color:#111;'> 278.56KB </span>","children":null,"spread":false},{"title":"wine.mat <span style='color:#111;'> 9.33KB </span>","children":null,"spread":false},{"title":"fs_neighbor.m <span style='color:#111;'> 2.66KB </span>","children":null,"spread":false},{"title":"entropy.m <span style='color:#111;'> 164B </span>","children":null,"spread":false},{"title":"entropy_interval.m <span style='color:#111;'> 682B </span>","children":null,"spread":false},{"title":"kersim_crisp.m <span style='color:#111;'> 94B </span>","children":null,"spread":false},{"title":"Entropies of Fuzzy Indiscernibility Relation and its operations.pdf <span style='color:#111;'> 75.66KB </span>","children":null,"spread":false},{"title":"fs_entropy.m <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"PR2877.pdf <span style='color:#111;'> 388.94KB </span>","children":null,"spread":false},{"title":"fs_neighbor.asv <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"基于邻域粒化和粗糙逼近的数值属性约简.pdf <span style='color:#111;'> 275.12KB </span>","children":null,"spread":false},{"title":"Information-preserving hybrid data reduction based on fuzzy-rough techniques.pdf <span style='color:#111;'> 288.84KB </span>","children":null,"spread":false}],"spread":true}]