摘要
针对不协调广义多尺度决策系统中每个对象事例的知识获取问题,文中提出局部最优尺度组合概念.首先,介绍广义多尺度决策系统中的尺度组合概念,给出在不同尺度组合下信息粒的表示及其相互关系.然后,在广义多尺度决策系统中,介绍不同尺度组合下集合的下近似与上近似概念及性质.最后,在不协调广义多尺度决策系统中定义7种局部最优尺度组合的概念,给出它们之间的相互关系,证明实际上只有5种不同的局部最优尺度组合概念.
To investigate knowledge acquisition for objects in inconsistent generalized multi-scale decision systems,the concept of local optimal scale combination is presented.Firstly,the notion of scale combination in a generalized multi-scale information system is introduced.Information granules with different scale combinations as well as their relationships from generalized multi-scale information systems are formulated.Lower and upper approximations of sets with different scale combinations in generalized multi-scale information systems are further constructed and their properties are examined.Finally,concepts of seven types of local optimal scale combinations for an object in an inconsistent generalized multi-scale decision system are defined and their relationships are clarified.It is proved that there are five different types of local optimal scale combinations in fact.
作者
吴伟志
孙钰
王霞
郑嘉文
WU Weizhi;SUN Yu;WANG Xia;ZHENG Jiawen(School of Information Engineering,Zhejiang Ocean University,Zhoushan 316022;Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province,Zhejiang Ocean University,Zhoushan 316022)
出处
《模式识别与人工智能》
CSCD
北大核心
2021年第8期689-700,共12页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金项目(No.61976194,41631179,62076221)资助。
关键词
粒计算
信息系统
尺度组合
多尺度信息系统
粗糙集
Granular Computing
Information System
Scale Combination
Multi-scale Information System
Rough Set
