“商学大讲堂”系列学术讲座（第233讲）---学术名家讲坛（56）

讲座题目：Basic notions of Multiple-Criteria Decision Aiding and ELECTRE III/IV method

主讲嘉宾：Roman Słowiński

时间：2023年12月12日（星期二）上午9:30—11:30

地点：tyc1286太阳成集团116东方厅

欢迎感兴趣的师生参加聆听！

tyc1286太阳成集团

2023年12月8日

主讲嘉宾简介

Roman Słowiński is a Professor of Operational Research at the Poznań University of Technology and Systems Research Institute of the Polish Academy of Sciences. As a full member of the Polish Academy of Sciences he has been its Vice-President in 2019-2022. He is also a member of Academia Europaea and Fellow of IEEE, IRSS, INFORMS, IFIP, IFORS, AAIA, and IAITQM. Recipient of the EURO Gold Medal, Officer of Academic Palms of France and Doctor Honoris Causa of four universities. Laureate of the 2005 Prize of the Foundation for Polish Science, and the Humboldt Research Award 2023 (Germany). Since 1999, Coordinating Editor-in-Chief of the European Journal of Operational Research.

讲座主要内容

The first part of the lecture is an introduction to Multiple-Criteria Decision Aiding methodology. It starts with from an observation that the dominance relation established in the set of alternatives evaluated on multiple attributes (voters, or criteria, or states of the nature) is the only objective information that stems from the formulation of a multiple attribute decision problem (ordinal classification, or ranking, or choice – with multiobjective optimization being a particular case). While it permits to eliminate many irrelevant (i.e., dominated) alternatives, it leaves many alternatives incomparable. This situation may be addressed by taking into account preferences of the DM. Therefore, decision aiding methods require some preference information exhibiting a value system of a single or multiple DMs.

The second part of the lecture consists in presentation of an MCDA method based on outranking relation preference model, called ELECTRE III/IV. The preference information used to build the outranking relation in the set of alternatives is characterized first, and then exploitation procedures of this relation, leading to a final recommendation, are described. The method is illustrated with a didactic example of a multiple-criteria decision problem. The ELECTRE on Excel software demo will end the lecture.