粗糙集（Rough Set）是数据挖掘中常用的工具，它是波兰数学家Z.Pawlak 在1982 年提出的一种关于数据分析和推理的理论，它能从数据库的大量数据中揭示出隐含的、先前未知的并有潜在价值的信息，做出归纳性推理，帮助决策。 现在，世界已经进入信息时代，知识和信息的爆炸性已经毋庸置疑了，所以如何从浩如烟海的繁琐数据中寻找规律并从中筛选出有价值的信息已受到特别关注，而粗糙集便是其中强有力的工具之一。

程序\感冒例子实现\Consistent.m
....\............\ganmao.m
....\............\ganmao.mat
....\............\ganmao.xls
....\............\TiaoJian.m
....\............\XiaJinSi.m
....\手写数字实现\AddConsistent.m
....\............\AddCuCao.m
....\............\AddCuCao2Class.m
....\............\AddCuCaoTrain.m
....\............\AddfinalRule.mat
....\............\Addsample.mat
....\............\Consistent.m
....\............\CuCao.m
....\............\CuCao2Class.m
....\............\CuCaoTrain.m
....\............\finalRule.mat
....\............\Fisher\fisher.m
....\............\......\fisherclassify.m
....\............\......\sample.mat
....\............\......\testfile02n.txt
....\............\......\TestFisher.m
....\............\......\testsample.mat
....\............\sample.mat
....\............\templet.mat
....\............\Test.m
....\............\testsample.mat
....\............\TiaoJian.m
....\............\XiaJinSi.m
....\............\Fisher
....\感冒例子实现
....\手写数字实现
程序

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