A variable precision rough set model in set-valued decision information systems

Kun Zhai, Zhengguo Lian
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Abstract

Rough set theory, proposed by Pawlak in 1982, has been conceived as an important mathematical tool to conceptualize and analyze different types of data. It is an extension of classical set theory for the research of systems marked by uncertain and incomplete information. In the paper, by using tolerance relation in original VPRS model proposed by Ziarko, a novel model of VPRS is proposed in set-valued information systems. The related important properties are also investigated.
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集值决策信息系统中的变精度粗糙集模型
粗糙集理论由Pawlak于1982年提出,被认为是一种重要的数学工具,用于概念化和分析不同类型的数据。它是经典集合论研究不确定和不完全信息系统的扩展。本文利用Ziarko提出的原有VPRS模型中的容差关系,提出了集值信息系统中VPRS的新模型。并研究了相关的重要性质。
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