Title: Preference Learning–Important Challenge for Operations Research

Abstract:

Identification of Decision Maker’s (DM’s) preferences is crucial for decision support. It is one of main challenges for Operational Research nowadays. We present a constructive preference learning methodology, called Robust Ordinal Regression, for Multiple Criteria Decision Aiding, for Group Decision, and for Decision under Uncertainty. This methodology links Operational Research with Artificial Intelligence, and as such, it confirms the current trend in mutual relations between OR and AI.

Lecturer: Roman Słowiński

Date/Time: 9:10 – 10:00AM, 14 Dec, 2019

Location: Room A0305, CEM Building, Jiangjun Rd. Campus

Brief introduction of the lecturer:

Roman Słowiński is the Professor of Poznan University of Technology, Deputy Dean of Polish Academy of Sciences, Chair of Science Department Committee of Polish Academy of Sciences, Academician of the Polish Academy of Sciences, Academician of the European Academy of Sciences, Fellow of Electrical and Electronics Engineer Association, Fellow of the International Rough Set Society. Acting as the editor of EJOR (top international journals), editorial board member of more than 20 internationally renowned journals. He has published 14 monographs, more than 400 academic papers. H index 83, i10 index 267, Total Cites 25920.