目标变化下不完全信息系统的增量更新逼近

Tran Thi Thanh Huyen, Le Ba Dung, Nguyen Do Van, Mai Van Dinh
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引用次数: 0

摘要

覆盖近似空间中的粗糙隶属函数不仅给出了基于覆盖的粗糙集近似的数值表征,而且建立了基于覆盖的粗糙集与基于模糊覆盖的粗糙集之间的关系。本文提出了一种用粗糙隶属函数更新覆盖近似空间中的近似集的新方法。首先,我们给出了第三类粗糙隶属函数,并研究了它们的性质。然后,我们在信息系统中同时增加和删除对象时考虑它们的变化。基于这种变化,我们提出了一种当对象随时间变化时更新近似集的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INCREMENTALLY UPDATING APPROXIMATION IN INCOMPLETE INFORMATION SYSTEMS UNDER THE VARIATION OF OBJECTS
Rough membership functions in covering approximation space not only give numerical characterizations of covering-based rough set approximations, but also establish the relationship between covering-based rough sets and fuzzy covering-based rough sets. In this paper, we introduce a new method to update the approximation sets with rough membership functions in covering approximation space. Firstly, we present the third types of rough membership functions and study their properties. And then, we consider the change of them while simultaneously adding and removing objects in the information system. Based on that change, we propose a method for updating the approximation sets when the objects vary over time.
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