Thresholds Determination for Probabilistic Rough Sets with Genetic Algorithms

摘要：

　　Probabilistic rough sets define the lower and upper approximations and the corresponding three regions by using a pair of (α,β) thresholds.Many attempts have been made to determine or calculate effective (α,β) threshold values.A common principle in these approaches is to combine and utilize some intelligent technique with a repetitive process in order to optimize different properties of rough set based classification.In this article,we investigate an approach based on genetic algorithms that repeatedly modifies the thresholds while reducing the overall uncertainty of the rough set regions.A demonstrative example suggests that the proposed approach determines useful threshold values within a few iterations.It is also argued that the proposed approach provide similar results to that of some existing approaches such as the game-theoretic rough sets.

作者: Babar Majeed Nouman Azam Jing Tao Yao

作者单位: Department of Computer Science, University of Regina, Canada S4S 0A2

会议类型: 国际会议

会议名称: The 9th International Conference on Rough Sets and Knowledge Technology (RSKT 2014)(第九届粗糙集与知识技术国际会议)

会议地点: 上海

会议语种:英文

页码: 693-704

在线出版日期: 2014-10-24（万方平台首次上网日期，不代表论文的发表时间）