基于粗糙集贝叶斯分类的供应商评价研究

Research on Supplier Evaluation Based on Rough Sets Bayesian Classification

文章采用数据挖掘中粗糙集和朴素贝叶斯分类结合的方法,对供应商评价指标信息属性冗余的问题进行分析,约简信息属性,提出一种新的供应商评价方法。并应用于某企业的供应商数据中,进行分析和验证。

This paper uses the method of rough set and naive bayesian classification of data mining, analyses the supplier evaluation information to target property to the question of redundancy, reduces information attributes and proposes a new supplier evaluation. It applies to a supplier of enterprise data, analysis and verification.