摘要
粗糙集理论和应用研究中的一个重要方向是推广经典的粗糙集理论和模型,使得这种理论和方法能够被应用于更一般的情形.本文讨论两类广义粗糙集模型的关系,一类是基于论域覆盖的广义粗糙集模型,另一类是基于论域上(?)般(?)元关系的广义粗糙集模型.基于两类模型的比较,提出一种具有对偶性的修正覆盖粗糙集模型.研究这种模型的性质.给出这种模型的代数刻画.
An important research direction of rough set theory is to generalize classical rough set models so that them can be applied to more complex cases. In this paper, two classes of generalized rough set models are further studied. The first class of models are the ones based on covering of universe, and the second class of models are the ones based on general binary relations on universe. A kind of dual covering generalized rough set models are addressed, their properties and algebraic characterization are given out. Relationship between two classes generalized rought set models is also considered.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2004年第3期281-285,共5页
Pattern Recognition and Artificial Intelligence
基金
江苏省教育厅科学研究基金(No.01KJD11007)
