本文主要探索精度与程度结合的粗糙集扩张模型,提出了变精度上近似算子与程度下近似算子的逻辑或运算模型.研究了该新模型的精确描述与基本性质,提出了模型的常规算法与结构算法,进行了算法分析与算法比较,得到了结论:常规算法与结构算法具有相同的时间复杂性但结构算法具有更优的空间复杂性,并用一个医疗实例对模型与算法进行了说明.该模型具有精度与程度复合描述的具体含义,部分扩张了变精度粗糙集模型、程度粗糙集模型和经典粗糙集模型,进而得到了已有近似算子的相应性质. This paper mainly explores the expansion model of the rough set based on the combination of accuracy and degree and proposes a logical OR operation model of approximate operator with varying precision and approximation operator with degree.It studies the exact description and basic properties of the new model and puts forward the model’s conventional Algorithm and structure algorithm, the algorithm analysis and algorithm comparison are made, and the conclusion is drawn that both the conventional algorithm and the structure algorithm have the same time complexity but the structure algorithm has better spatial complexity, and a medical instance is used to describe the model and the algorithm The model has the specific meanings of compound description of accuracy and degree, partially expands the variable precision rough set model, the degree rough set model and the classical rough set model, and then obtains the corresponding properties of the existing approximate operators.