首页> 外文会议>2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)论文集 >THE RELATIONSHIPS BETWEEN THE INCLUSION DEGREE AND MEASURES ON ROUGH SET DATA ANALYSIS BASED ON REGULAR PROBABILITY SPACES
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THE RELATIONSHIPS BETWEEN THE INCLUSION DEGREE AND MEASURES ON ROUGH SET DATA ANALYSIS BASED ON REGULAR PROBABILITY SPACES

机译:基于规则概率空间的粗糙集数据分析的包含度与度量之间的关系

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摘要

Rough set data analysis is one of the main application techniques arising from rough set theory. In this paper we first give a concept of inclusion degree and introduce some measures on rough set in probability spaces. Then we establish several important relationships between the inclusion degree and these measures. Finally, we get one conclusion that these measures can be reduced to the inclusion degree by using mathematical reasoning.
机译:粗糙集数据分析是来自粗糙集理论的主要应用技术之一。在本文中,我们首先给出了包含度的概念,并介绍了概率空间中粗糙集的一些度量。然后我们建立了包含度与这些度量之间的几个重要关系。最后,我们得出一个结论,即可以通过数学推理将这些度量降低到包含度。

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