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(April 2)Three-Way Decisions

Time: Mar 31, 2016

时间 地点
人物

Title:

Three-Way  Decisions

Lecturer:

Prof. YAO Yiyu

Time:

9:20, April  2, 2016

Venue:

Section IV, Main Building, North Campus

Lecturer  Profile

Yiyu Yao is a Professor with  the Department of Computer Science, University of Regina. His research  interests include Three-way Decisions, Granular Computing, Rough Sets,  Artificial Intelligence, Web Intelligence, Information Retrieval, Data  Analysis, Machine Learning, and Data Mining. He proposed a theory of three-way  decisions, a triarchic theory of granular computing, interval sets, and  decision-theoretic rough set models. He published over 300 papers. In 2015, he  was selected as a Highly Cited Researcher (Thomson Reuters). In 2014, he  received University of Regina Alumni Association Faculty Award for Research  Excellence. In 2013, a co-authored paper was included in Frontrunner 5000 (Top  Articles in Outstanding Science and Technology Journals of China). In 2010, he  received the Overseas Friendship Award, Chinese Rough Set and Soft Computing  Society. In 2008, he received PAKDD Most Influential Paper Award  (1999-2008).  He is an Area Editor of International Journal of Approximate  Reasoning, an Associate Editor of Information Sciences, an Advisory Board  Member of Knowledge-based Systems, and a Track Editor of Web  Intelligence.  He is also an Editorial Board Member of Granular Computing,  LNCS Transactions on Rough Sets, International Journal of Intelligent Information  Systems, and several others.  He is the elected Vice-President of  International Rough Set Society.
E-mail:
yyao@cs.uregina.ca

URL: http://www2.cs.uregina.ca/~yyao/

Lecture  Abstract

A  trisecting-and-acting model of three-way decisions (3WD) consists of two basic  tasks.  One task is to divide a universal set into three pair-wise  disjoint regions called a trisection or a tri-partition of the universal set.  The other task is to act upon objects in one or more regions by developing  appropriate strategies.  Three-way decisions are a class of effective ways  and heuristics commonly used in human problem solving and information  processing.  In this talk, we will look at the fundamental issues, basic  models, and applications of three-way decisions.

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