“商學大講堂”系列學術講座（第233講）---學術名家講壇（56）

講座題目：Basic notions of Multiple-Criteria Decision Aiding and ELECTRE III/IV method

主講嘉賓：Roman Słowiński

時間：2023年12月12日（星期二）上午9:30—11:30

地點：菠菜网最新平台网116東方廳

歡迎感興趣的師生參加聆聽！

菠菜担保平台官网

2023年12月8日

主講嘉賓簡介

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.

講座主要内容

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.