摘要
主要总结了近年来粗糙集模型理论的研究和发展,介绍了广义粗糙集模型研究的一些主要方面和最新成果,从逼近算子和粗糙隶属函数的角度,讨论了广义粗糙集模型的各种类型,并探讨了它们各自的特点和应用.
Recent researches and developments on rough set model theory are mainly reviewed. Main latest research
parts and results in generalized rough set models are introduced. Furthermore, various types of generalized rough
set models, as well as their properties and applications are briefly discussed from the view of the approximation
operator and the rough membership function.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2004年第2期184-189,共6页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金(No.50138010)
关键词
粗糙集
广义粗糙集模型
逼近算子
粗糙隶属函数
Rough Sets
Generalized Rough Set Models
Approximation Operator
Rough Membership Function
