Virtual workshop

Online workshop on the Multiple Criteria Decision Analysis Methods Selection Software (MCDA-MSS)

Event Info

icon_calendar.jpgOctober 6, 2023
icon_clock.jpg9 am EDT
3 pm CEST
           10 pm JST
icon_stopwatch.jpgDuration: 1.5 hours

Presented by


Instructed by Dr. Marco Cinelli

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Dr. Marco Cinelli (m.cinelli@luc.leidenuniv.nl), Assistant Professor at Leiden University College (LUC) in the Hague. His research focuses on the development of tools to support decision-making for complex problems with multiple stakeholders and conflicting interests. The key drivers of his work are the frameworks and methodologies that can be used to guarantee a sustainable and resilient future for the generations to come. He leads the interdisciplinary laboratory Decision Engineering for Sustainability and Resilience (DESIRE). 

Personal webpagehttps://www.universiteitleiden.nl/en/staffmembers/marco-cinelli#tab-2 

Over the last few decades, the number of MCDA methods has grown steadily, and an analyst can find it difficult to select the relevant MCDA method. The main issue that decision analysts have to deal with is summarized by this question:

"Which is the most suitable MCDA method (or subset of methods) that should be used for a given decision-making problem?"

Structure of the workshop

  1. Overview of the simple and intelligible questioning strategy implemented in the software.
  2. Presentation of our proposed conceptualization of complex decision-making processes, using 4 sections:
    1. Problem typology: defines the type and structure of the decision-making problem;
    2. Preference model: defines the type of model that the user would like to apply;
    3. Elicitation of preferences: defines the type, modality and frequency of model preferences;
    4. Exploitation of the preference relation induced by the preference model: defines the strategy used to derive and enrich the decision recommendation.
  1. Use of the MCDA-MSS by the attendees with possibility of feedback by the instructor.

Instructor

Dr. Marco Cinelli (m.cinelli@luc.leidenuniv.nl), Assistant Professor at Leiden University College (LUC) in the Hague. His research focuses on the development of tools to support decision-making for complex problems with multiple stakeholders and conflicting interests. The key drivers of his work are the frameworks and methodologies that can be used to guarantee a sustainable and resilient future for the generations to come. He leads the interdisciplinary laboratory Decision Engineering for Sustainability and Resilience (DESIRE). Personal webpage: https://www.universiteitleiden.nl/en/staffmembers/marco-cinelli#tab-2 

Interested to attend the workshop?

Sign up herehttps://forms.gle/2H37KRYmNHypJCQZ7

More information

Multiple Criteria Decision Analysis
Methods Selection Software (MCDA-MSS)

Event Info

icon_calendar.jpgJune 1, 2021
icon_clock.jpg8-11am EDT
2-5pm CEST
icon_stopwatch.jpgDuration: 3 hours

Presented by


Presented by Dr. Marco Cinelli in cooperation with Associate Professor Miłosz Kadziński and Professor Roman Słowiński

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Marco Cinelli (Ph.D. Engineering, University of Warwick, UK, 2016) is a Marie Skłodowska-Curie Global Fellow at (i) the Center for Environmental Solutions and Emergency Response (CESER) (formerly National Risk Management Research Laboratory (NRMRL)) of the U.S. Environmental Protection Agency in Cincinnati, USA, (ii) the Laboratory for Energy Systems Analysis, Paul Scherrer Institute, Villigen PSI, Switzerland and (iii) the Institute of Computing Science at Poznan University of Technology, Poland.

His research focuses on the development of Decision Support Systems (DSS) for materials, processes, energy systems and technologies assessment. The main frameworks he uses include sustainability, resilience and risk assessment, while the decision support methods belong to the area of Multiple Criteria Decision Aiding/Analysis (MCDA).
  

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Miłosz Kadziński is an Associate Professor at Poznan University of Technology and a Polish Young Academy member. He holds the MCDM Doctoral Dissertation Award 2013. He has been distinguished with the scientific awards by EURO, INFORMS MCDM Section, Polish Academy of Sciences, and Ministry of Science. He has been acknowledged with thirteen Best Reviewer Awards by EJOR, Omega, and GDN. He acts as a co-president of the Decision Deck Consortium. His research interests include preference learning, robustness analysis, and strengthening the interfaces between MCDM and other sub-disciplines of algorithmic decision theory, such as interactive and evolutionary multiple objective optimization, data envelopment analysis, and machine learning. He has published more than 65 papers in premier international journals such as Omega, EJOR, DSS, INS, COR, KBS, ESWA, and ML.
  

Roman Słowiński is a Professor and Founding Chair of the Laboratory of Intelligent Decision Support Systems at Poznań University of Technology, and a Professor in the Systems Research Institute of the Polish Academy of Sciences. As an ordinary member of the Polish Academy of Sciences he is its Vice President, elected for the term 2019-2022. He is a member of Academia Europaea and Fellow of IEEE, IRSS, INFORMS and IFIP. In his research, he combines Operational Research and Artificial Intelligence for Decision Aiding. Recipient of the EURO Gold Medal by the European Association of Operational Research Societies (1991), and Doctor HC of Polytechnic Faculty of Mons (Belgium, 2000), University Paris Dauphine (France, 2001), and Technical University of Crete (Greece, 2008). In 2005 he received the Annual Prize of the Foundation for Polish Science - the highest scientific honor awarded in Poland, and in 2020 - the Scientific Award of the Prime Minister of Poland. Since 1999, he is the principal editor of the European Journal of Operational Research (Elsevier), a premier journal in Operational Research.