智能技术学报

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稿件标题: A survey on rough set theory and its applications
稿件作者: Qinghua Zhang, Qin Xie, Guoyin Wang
关键字词: Rough sets; Fuzzy sets; Soft computing; Artificial intelligence; Approximation space; Extended models
文章摘要: After probability theory, fuzzy set theory and evidence theory, rough set theory is a new mathematical tool for dealing with vague, imprecise, inconsistent and uncertain knowledge. In recent years, the research and applications on rough set theory have attracted more and more researchers' attention. And it is one of the hot issues in the artificial intelligence field. In this paper, the basic concepts, operations and characteristics on the rough set theory are introduced firstly, and then the extensions of rough set model, the situation of their applications, some application software and the key problems in applied research for the rough set theory are presented.
收录刊物: 2016年1卷4期
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