【摘 要】
：
基于精度与程度的逻辑差需求,提出了精度与程度的逻辑差粗糙集模型,定义了粗糙集区域概念.在精度与程度的逻辑差粗糙集模型中,得到了粗糙集区域的基本结构和精确描述,提出了
【机 构】
：
四川师范大学数学与软件科学学院,四川天一学院信息工程系,电子科技大学自动化工程学院,
论文部分内容阅读
基于精度与程度的逻辑差需求,提出了精度与程度的逻辑差粗糙集模型,定义了粗糙集区域概念.在精度与程度的逻辑差粗糙集模型中,得到了粗糙集区域的基本结构和精确描述,提出了计算粗糙集区域的宏观算法和结构算法,并进行了算法分析与比较,得到了结构算法具有时间优势和空间优势的结论.最后用一个医疗实例对模型及其算法进行了说明.精度与程度的逻辑差粗糙集模型,部分拓展了程度粗糙集模型和经典粗糙集模型,在决策表应用中具有广阔前景.
Based on the logical difference between accuracy and degree, a logical difference rough set model of precision and degree is proposed, and the concept of rough set region is defined. In the model of logical difference rough set with precision and degree, the basic structure and precision of rough set region , A macroscopical algorithm and a structure algorithm for calculating the rough set area are proposed, and the algorithm is analyzed and compared, and the conclusion is obtained that the structure algorithm has the advantages of time and space.Finally, a medical example is used to illustrate the model and its algorithm. Accuracy and degree of logic difference rough set model, partially extended degree rough set model and classical rough set model, has broad prospects in the application of decision table.
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