Product Model of Grade Lower Approximation Operators Based on Two Parameters

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 product operation of grade lower approximation operators. Based on logical product operation, this paper proposes product model of grade lower approximation operators based on two parameters. Essence, basic structure and properties are obtained in the new model. Macroscopic algorithm and structural algorithm are proposed and analyzed, and by comparison it obtains an important conclusion that structural algorithm has advantages in time complexity and space complexity. Finally an example is given to illustrate the new model and its algorithms.Product model of grade lower approximation operators based on two parameters has extended graded rough set model partially, and it obtains idempotent property of grade lower approximation operators.

关键词： artificial intelligence rough set theory logical product operation approximation operator graded rough set grade macroscopic algorithm structural algorithm

作者: Xianyong Zhang

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

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 436-440

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）