【摘要】 将可变精度粗集模型与k-NN分类结合起来,提出了一种新的分类方法,即基于可变精度粗集模型的k-NN分类方法,并且给出了β-信任函数和β-似然函数两个新的概念。更多还原

【Abstract】 In this paper, we combined variable precision model with k-NN classification and presented anew classification method: a k-NN classification method based on the variable precision rough setmodel. Furthermore two new notions-β-belief function and β-plausibility function, are given.更多还原