Solving the Mystery of Rough Sets: Links between Topologies and Rough Sets

机译：解决粗糙集的奥秘：拓扑和粗糙集之间的联系

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When modeling complex phenomena, simplifications and idealizations are indispensable. When analyzing the resulting abstract models, approximations of their mathematical constituents are, as a rule, also needed. The main aim of this brief note is to clarify relations between the classic approach to set approximations and recent proposals appearing hi the literature on rough sets. In particular, relations between the standard topological concepts and basic concepts of rough set theory will be explained.

机译：在对复杂现象建模时，简化和理想化是必不可少的。通常，在分析所得的抽象模型时，也需要近似其数学成分。本简要说明的主要目的是阐明经典的逼近方法与在粗糙集文献中出现的最新建议之间的关系。特别地，将解释标准拓扑概念和粗糙集理论的基本概念之间的关系。

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《International Symposium on Knowledge and Systems Sciences(KSS2004); 20041110-12; Ishikawa(JP)》|2004年|P.353-355|共3页
会议地点 Ishikawa(JP)
作者
Milan Vlach;
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作者单位

Hosei University, Faculty of Economics, 4342 Aihara-machi, Machida, Tokyo 194-0298 Japan;

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原文格式 PDF
正文语种 eng
中图分类系统科学;
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4. Solving the Mystery of Rough Sets: Links between Topologies and Rough Sets [C] . Milan Vlach, International Society for Knowledge and Systems Sciences(ISKSS), Japan Advanced Institute of Science and Technology(JAIST)Japan, International Symposium on Knowledge and Systems Sciences . 2004

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Solving the Mystery of Rough Sets: Links between Topologies and Rough Sets

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