Intelligent Decision Support Systems: Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Slowinski

Greco, Salvatore (Editor)/ Mousseau, Vincent (Editor)/ Stefanowski, Jerzy (Editor)/ Zopounidis, Constantin (Editor)

ISBN 10: 3030963209 / ISBN 13: 9783030963200

Edité par Springer Nature, 2023

A propos de cet article

458 pages. 9.25x6.10x0.93 inches. In Stock.

N° de réf. du vendeur x-3030963209

Détails bibliographiques

• Titre: Intelligent Decision Support Systems: Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Slowinski
• Éditeur: Springer Nature
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 3030963209
• ISBN à 13 chiffres: 9783030963200
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

This book presents a collection of essays written by leading researchers to honor Roman Słowiński’s major scholarly interests and contributions. He is well-known for conducting extensive research on methodologies and techniques for intelligent decision support, where he combines operational research and artificial intelligence. The book reconstructs his main contributions, presents cutting-edge research and provides an outlook on the most promising and advanced domains of computer science and multiple criteria decision aiding. 

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.

À propos de l?auteur

Salvatore Greco is a Professor at the University of Catania, Italy. His research focuses on multiple criteria decision making (MCDM), an area in which he has proposed several new methodologies such as the Dominance-based Rough Set Approach and Robust Ordinal Regression. For his contributions in the field, he received the Gold Medal from the MCDM International Society.

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