Product Operation of Grade Lower Approximation Operator and Grade Upper Approximation Operator 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 approximation operators. Based on logical product operation, this paper proposes product operation of grade lower approximation operator and grade upper approximation operator based on two parameters. Essence, basic structure and properties are obtained. 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 product operation and its algorithms.

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

作者: Xianyong Zhang Fang Xiong Zhiwen Mo

作者单位: College of Mathematics and Software Science, Sichuan Normal University, Chengdu, Sichnan 610068, P. Department of Information Engineering, Sichuan Tianyi University, Longquan, Sichuan 610100, P. R. Ch

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 2064-2067

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）