计算机工程与应用Issue(2)：165-169,270,6.DOI:10.3778/j.issn.1002-8331.1506-0052
保正域的决策粗糙集属性约简
Positive region preservation reducts in decision-theoretic rough set models
摘要
Abstract
For Decision-Theoretic Rough Set(DTRS)models, the positive region change rules are analyzed when remov-ing attributes from conditional attribute set. That is, the positive region not only may be larger, but also can be unchanged or smaller with respect to the decreasing of attributes. The existing attribute reducts related to positive regions in DTRS models are discussed and analyzed. Then a new type of positive region preservation attribute reduct in DTRS models is proposed. An example is given to show that the method based on discernibility matrix can’t get all of positive region pres-ervation reducts as in classical rough set models. It shows that the attribute reduct methods in classical rough set models are completely different from the ones in DTRS models and can’t extend the methods to DTRS parallelly. The results above give a summary and provide a theoretical basis for the attribute reduct research in DTRS models in the future.关键词
决策粗糙集/属性约简/正域/差别矩阵Key words
decision-theoretic rough set/attribute reduct/positive region/discernibility matrix分类
信息技术与安全科学引用本文复制引用
黄国顺..保正域的决策粗糙集属性约简[J].计算机工程与应用,2016,(2):165-169,270,6.基金项目
广东省自然科学基金（No.2015A030313636）；广东省普通高校特色创新项目（No.2014KTSCX152）。 （）
