Dynamic Online learning Algorithm For Three-way decision

摘要：

　　Three-way decision is an important theory for solving uncertain problems.Online computing is a new dynamic Stream computing form.How to execute three-way decision quickly in online computing is a challenging topic.In this paper,Online computing process is divided into incremental computing portion and decreasing computing portion.And a three-way decision dynamic incremental and decreasing learning algorithm for online computing is proposed.Firstly,the dynamic incremental and decreasing learning models is studied for stream computing based on probabilistic rough set.Then,the logical reasoning for three-way decision regions changing are discussed based on the dynamic incremental and decreasing learning models.And a novel dynamic online learning algorithm for three-way decision online computing is proposed based on the above theory.Finally,the experiment by UCI data set show that the proposed algorithms are superior than classical static three-way decision method in time efficiency.

作者: Gaojie Cheng Jianmo Liu Jianfeng Xu Xiqiu Wang

作者单位: Software School,of Nanchang University,Jiangxi Nanchang 330029;Collaborative Innovation Center for E Software School,of Nanchang University,Jiangxi Nanchang 330029;Collaborative Innovation Center for E

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）