基于扩展粗糙集模型的集值不完备信息系统决策研究

Researches on the Set-valued Incomplete Information Decision Based on Generalized Rough Set Models

在客观世界中信息系统往往是不完备的。该文将粗糙集模型经过扩展后应用于属性值为集合值的不完备信息系统,给出了几种不同的上下近似集定义,着重建立和分析了一种不完备决策表,研究了对应的粗糙集模型扩展后的属性约简的方法,并根据约简生成了决策规则。

The information system in the objective world is not complete.This paper extends the rough set models,applies it into those incomplete information systems in which attribute values may occur set values,gives out several different upper and low approximate set definitions,emphasizes to build and analyze a kind of incomplete decision table,and studies the approach of attribute reduction in the corresponding generalized rough set model and generates the decision rules in accordance with the attribute reduction.