粗糙集连续属性量化算法的灵敏度分析

Sensitivity Analysis of Quantifying Algorithm for Continuous Attributes of Rough Set

简要介绍了粗糙集连续属性的一种量化算法—基于VDM (ValueDifferenceMetric)度量的划分法 ,并用该算法对实验数据为取自UCI机器学习数据库中心的数据集Iris进行量化 。

This paper introduces briefly one quantifying algorithm for continuous attributes--splitting based on VDM(Value Difference Metric)and uses this algorithm to quantify the data sets of Iris which was obtainned from the center of UCI Machine Studying Database, then analyzes the sensitivity of rough classification to minor changes in the norms.