基于模糊聚类和包含度的网上购物决策研究

Decision Making of Online Shopping Based on Fuzzy Clustering and Inclusion Degree

决策规则是信息系统中知识发现的重要课题,概率粗糙集模型则是重要方法之一。由于确定模型中的参数具有主观性,因此提出了一种结合模糊聚类和包含度决策对象的方法,并应用于网上购物的决策。

Computing decision rules is one of most subjects of knowledge discovery in information system. Possibility rough set model is an important approach. But due to subjective of ascertain the parameters of the model, an approach to decision a new object which combine with fuzzy clustering and inclusion degree is presented in online shopping.