Logical Difference Model of Grade Upper Approximation Operator and Grade Lower Approximation Operator

摘要：

Grade is an important quantitative index, and graded rough set model is an important improved rough set model. This paper is to explore new improved rough set model. Based on logical difference operation of grade approximation operators, it proposes logical difference model of grade upper approximation operator and grade lower approximation operator. In the new model, basic structure and properties are obtained, and macroscopic algorithm and structural algorithm are proposed. Finally logical difference model of grade upper approximation operator and grade lower approximation operator is explained by a medical example.

关键词： artificial intelligence rough set model logical operation approximation operator graded rough set grade

作者: Xianyong Zhang

作者单位: College of Mathematics and Software Science Sichuan Normal University, SNU Chengdu, Sichuan 610068, P. R. China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-04-16（万方平台首次上网日期，不代表论文的发表时间）