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精度与程度是两个重要的量化研究指标.文中目的是结合精度与程度,探索粗糙集拓展模型.通过研究变精度近似与程度近似的关系,得到两者的转化公式.基于精度与程度的逻辑或需求,提出精度与程度的逻辑或粗糙集模型,提出粗糙集区域,更精确地分划论域.在精度与程度的逻辑或粗糙集模型中,得到粗糙集区域的基本结构,提出计算粗糙集区域的常规算法和结构算法,并进行算法分析与比较.精度与程度的逻辑或粗糙集模型拓展了变精度粗糙集模型、程度粗糙集模型、经典粗糙集模型,并在这些模型中得到相应的粗糙集区域结构.
Accuracy and degree are two important quantitative research indicators.The purpose of this paper is to explore the rough set expansion model in combination with the precision and degree.Through the study of the relationship between the variable precision approximation and the degree approximation, the conversion formula of the two is obtained.The logic based on accuracy and degree Or demand, the logic or rough set model of precision and degree is proposed, the rough set area is proposed, and the theoretical domain is divided more accurately.In the logic or rough set model of precision and degree, the basic structure of rough set area is obtained, Set the conventional algorithm and structure algorithm of the region, and analyze and compare the algorithm.The precision or degree of logic or rough set model extends the variable precision rough set model, the degree rough set model, the classical rough set model, and obtains corresponding in these models Rough set regional structure.