基于程度与精度的逻辑差需求,提出了程度与精度的逻辑差粗糙集模型,并定义了粗糙集区域概念。通过变精度近似与程度近似的转化公式,得到了粗糙集区域的基本结构,提出了计算粗糙集区域的常规算法和结构算法,进行了算法分析与比较,探索并得到了模型在决策表中的应用方向。通过该模型拓展了程度粗糙集模型和经典粗糙集模型。
This paper proposes a rough set model of logical difference operation of grade and precision,and defines the concepts of rough set regions.In the new model,basic structure of rough set regions is obtained by transformation formulas between variable precision approximations and graded approximations.Regular algorithm and structural algorithm are proposed and analyzed to calculate rough set regions,and application prospect of the new model in decision table is explored and obtained.The new model has extended graded rough set model and classical rough set model.