Intelligent Decision Support Systems / Multiple Criteria Decision Making (PDF)
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The respective chapters cover a wide range of related research areas, including decision sciences, ordinal data mining, preference learning and multiple criteria decision aiding, modeling of uncertainty and imprecision in decision problems, rough set theory, fuzzy set theory, multi-objective optimization, project scheduling and decision support applications. As such, the book will appeal to researchers and scholars in related fields.
Vincent Mousseau is a Professor of Computer Science at Centrale Supélec, University of Paris-Saclay (France). His research interests include decision modeling and preference elicitation with a particular focus on multiple criteria decisions. He is also interested in filling the gap between preference learning in artificial intelligence and preference elicitation in multiple criteria decision making.
Jerzy Stefanowski is a Professor at the Poznan University of Technology (Poland). He is also a corresponding member of the Polish Academy of Sciences. His research interests include machine learning, data mining and intelligent decision support, in particular multiple classifiers, dealing with class imbalance, concept drift, classification of data streams, rule induction, classification of big data and handling uncertain data.
Constantin Zopounidis is a Professor at the Technical University of Crete (Greece) and the Audencia Business School (France). He is an Honorary Professor at the Department of Economics of the Aristotle University of Thessaloniki (Greece). His research interests are in multiple criteria decision aiding (MCDA) and preference disaggregation, sorting methods and classification problems. For his contributions to the field, he received the Edgeworth-Pareto Award from the MCDM International Society
- 2022, 1st ed. 2022, 440 Seiten, Englisch
- Herausgegeben: Salvatore Greco, Vincent Mousseau, Jerzy Stefanowski, Constantin Zopounidis
- Verlag: Springer International Publishing
- ISBN-10: 3030963187
- ISBN-13: 9783030963187
- Erscheinungsdatum: 31.05.2022
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