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全粒度粗糙集属性约简
引用本文:邓大勇.全粒度粗糙集属性约简[J].模式识别与人工智能,2018,31(3):230-235.
作者姓名:邓大勇
作者单位:1.浙江师范大学 行知学院 金华 321004
基金项目:浙江省自然科学基金项目(No.LY15F020012)资助
摘    要:全粒度粗糙集是一种动静结合的粗糙集模型,在一定程度上可以表示人类认识的复杂性、多样性和不确定性.文中定义概念的全粒度属性约简,完善全粒度粗糙集属性约简的定义.探索概念的全粒度属性约简、全粒度绝对约简及全粒度Pawlak约简的性质,指明这些属性约简之间的关系,有助于全粒度属性约简的实际应用及启发式算法的产生.

关 键 词:全粒度粗糙集  概念的全粒度属性约简  全粒度绝对约简  全粒度Pawlak约简  属性约简  
收稿时间:2017-09-18

Attribute Reduction for Entire-Granulation Rough Sets
DENG Dayong.Attribute Reduction for Entire-Granulation Rough Sets[J].Pattern Recognition and Artificial Intelligence,2018,31(3):230-235.
Authors:DENG Dayong
Affiliation:1.Xingzhi College, Zhejiang Normal University, Jinhua 321004
Abstract:Entire-granulation rough sets is a kind of dynamic and static combining rough set model. They can partly express complexity,diversity and uncertainty of human cognition. The entire-granulation attribute reducts for a single concept are defined and the definitions of attribute reducts for entire-granulation rough sets are completed. The properties of entire-granulation attribute reducts, including entire-granulation attribute reducts for a single concept, entire-granulation absolute attribute reducts and entire-granulation Pawlak reducts, are investigated.Moreover, the relationships among various kinds of entire-granulation attribute reducts are studied. The obtained results contribute to practical applications and the generation of heuristic algorithms of entire-granulation attribute reducts.
Keywords:Entire-Granulation Rough Sets  Entire-Granulation Attribute Reducts for a Single Concept  Entire-Granulation Absolute Reducts  Entire-Granulation Pawlak Reducts  Attribute Reducts  
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