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基于优势关系的粗糙集应用研究
Research on the Dominance-based Rough Set Approach
【摘要】 基于优势关系的粗糙集定义能够弥补经典粗糙集中不能表达出数据属性值偏好关系的劣势,使得到的"if…then…"推导规则更符合实际情况,具有推广性。本文首先介绍基于优势关系的粗糙集的产生背景;然后综述其在数据挖掘中的应用,包括规则生成和属性约简;最后讨论了进一步的研究内容和发展方向。
【Abstract】 Dominance-based Rough Set Approach(DRSA) is different from the Classical Rough Set Approach(CRSA) because it takes into account preference orders in the domains of attributes and in the set of decision classes.Therefore the rules as ’if…then…’ are more suitable and popular in practice.In this paper,the general concepts and characters of dominance-based rough set approach are introduced firstly.Then some applications of dominance-based rough set approach in data mining are presented,including rules generation and attributes reduction.Finally the status quo and future work of research on dominance-base rough set approach are discussed.
【Key words】 Multicriteria problem; Preference orders; Dominance relation; Rough set;
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2008年08期
- 【分类号】TP18
- 【被引频次】13
- 【下载频次】495