報告題目：Three-way decision, granular computing, and three-way granular approximations
報告人：Yiyu Yao 教授，加拿大里賈納大學(xué)（University of Regina）
報告時間：2023年12月6日上午9:30-11:30
主持人：朱萍
線上會議：騰訊會議：928 2271 0793
報告摘要：
A theory of three-way decision concerns thinking, problem solving, and computing in threes. This talk will cover three related topics:
(1) the Dao of three-way decision；
(2) a reformulation of a Pawlak approximation space；
(3) granular rough sets and three-way granular approximations in a Pawlak approximation space.
報告人簡介：
Yiyu Yao is a professor of computer science with the Department of Computer Science, University of Regina, Canada. His research interests include three-way decision, granular computing, Web intelligence, rough sets, fuzzy sets, interval sets, formal concept analysis, information retrieval, machine learning, and data mining. He proposed a theory of three-way decision, a decision-theoretic rough set model, and a triarchic theory of granular computing. He has published over 400 papers. He was selected as a highly cited researcher by Clarivate from 2015 to 2019. He is the President of Web Intelligence Academy.
