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9月19日“商学大讲堂“系列学术讲座——Yingjie Yang: Grey Models and Data Analytics

发布日期:2018-09-19  来源:商学院   韩晓东
2018 9
19 主题 Grey Models and Data Analytics
主讲 Yingjie Yang, De Montfort University, Leicester, U.K. 时间 13:30---15:30
地点 商学院118利安达厅 短标题 “商学大讲堂“系列学术讲座——Yingjie Yang: Grey Models and Data Analytics

讲座题目:Grey Models and Data Analytics

主讲嘉宾:Yingjie Yang,De Montfort University, Leicester, U.K.

讲座时间:2018年9月19日(星期三)13:30---15:30

讲座地点:商学院118利安达厅

欢迎感兴趣的老师和同学参加!

主讲嘉宾简介

Yingjie Yang received the B.Sc. (Hons.), M.Sc. and Ph.D. degrees in engineering from Northeastern University, Shenyang, China, in 1987, 1990, and 1994, respectively. He was awarded his PhD degree in computer science at Loughborough University, Loughborough, U.K., in 2008. He is currently a professor of computational intelligence in the Institute of Artificial Intelligence at De Montfort University, Leicester, U.K. He has published over 150 papers on grey systems, fuzzy sets, rough sets, neural networks and their applications to civil engineering, transportation and environmental engineering. His research interests include the representation and modelling of various uncertainties and the application of computational intelligence to engineering problems.

Prof. Yang is a senior member of IEEE Systems, Man and Cybernetics Society, a co-chair of IEEE SMC Technical Committee on Grey Systems, the executive president of the International Association on Grey Systems and Uncertainty Analysis and a member of Rail Research UK Association. He is serving as associate editor for 4 academic journals including IEEE Transaction on Cybernetics. He has served as a PC member for over 100 international conferences.

讲座主要内容

This talk gives an introduction to the basic concepts of grey systems, grey numbers and grey models, and discusses their roles in data analysis of data science. The necessity of small data models is demonstrated, and their complementary functions to Big Data models are investigated. Based on these investigations, a novel framework for combining Big Data models with grey models is proposed.

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