题目：Dynamic Three-way Decisions Based on Decision-theoretic Rough Sets

主讲人：四川大学 罗川副教授

主持人：西南财经大学统计学院 黄雁勇副教授

时间：2020年5月22日（星期五）10:00-11:00

直播平台及会议ID：腾讯会议，505 594 853

报告摘要：

Three-way decisions based on decision-theoretic rough sets is a generalized probabilistic model for the expression of uncertainties and the representation of knowledge from data. Data for decision making process resides in a dynamic database whose data is typically evolving through the periodical or occasional updating. In this talk, I will introduce my research on dynamic three-way decisions based on decision-theoretic rough sets, including the matrix approach to decision-theoretic rough sets for evolving data, and the updating of three-way decisions in incomplete multi-scale information systems.

主讲人简介：

罗川，四川大学计算机学院副教授，硕士生导师；西南交通大学博士，加拿大里贾纳大学联合培养博士，四川大学博士后；中国人工智能学会粒计算与知识发现专业委员会委员。主要从事数据挖掘与知识发现、粒计算与粗糙集研究工作。在IEEE T KNOWL DATA EN, IEEE T FUZZY SYST, INFORM SCIENCES, KNOWL-BASED SYST，INT J APPROX REASON等国际期刊或会议上发表学术论文30余篇，入选ESI高被引论文6篇；出版学术专著2部（科学出版社）；取得IEEE CyberSciTech 2019，FLINS 2016，IJCRS 2015, CRSSC 2013，JRS 2012会议优秀论文奖。