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Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction

机译:基于优势的社区粗糙集及其属性减少

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In real-life applications, partial order may exist in the domain of attributes and different data types often coexist in an decision system. Dominance-based rough set approach has been used widely in multi-attribute and multi-criteria decision by using the dominating relation. Neighborhood rough set aims to deal with hybrid data types. But the preference relation in the context of neighborhood rough set has not been taken into consideration. In this paper, a novel rough set model, Dominance-based Neighborhood Rough Sets (DNRS), is proposed which aims to process a decision system with hybrid data types where the partial order between objects is taken into consideration. The properties of DNRS are studied. Attribute reduction under DNRS is investigated.
机译:在现实生活中,部分顺序可能存在于属性的域中,并且不同的数据类型通常在决策系统中共存。基于优势的粗糙集方法已经广泛用于多属性和多标准决定通过使用主导关系。邻居粗糙集旨在处理混合数据类型。但是,尚未考虑邻域粗糙集的上下文的偏好关系。在本文中,提出了一种新颖的粗糙集模型,基于优势的邻粗集(DNRS),其目的是处理具有混合数据类型的决策系统,其中考虑了对象之间的部分顺序。研究了DNR的性质。调查DNR下的属性减少。

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