This book provides comprehensive coverage of the latest research on multiple criteria research analysis (MCDA) and related areas, gathering a collection of high-quality chapters prepared by leading scholars in the field. By covering the established streams in MCDA research and simultaneously exploring new and emerging areas of application, it offers a unique reference resource for the future development of MCDA.

The book approaches MCDA as one of the most active areas in operations research and management science (OR/MS). It presents not only the significant advances achieved to date, but also the new opportunities and challenges arising for both the theory and practice of MCDA. Among many others, the book addresses behavioral and conceptual aspects of decision aiding and decision making, problem structuring issues in the framework of new technological and socio-economic advances, methodological and algorithmic advances for analytical modeling and decision aiding, as wellas a number of new application areas in engineering, business, and the social sciences.

Presents up-to-date coverage of the latest developments in all main areas of MCDA Showcases innovative applications and case studies in emerging fields of engineering and management Explores the connections to other analytical and computational disciplines

Autorentext

Michalis Doumpos is Professor at the School of Production Engineering and Management of the Technical University of Crete, Greece. His research interests include multiple criteria decision making, decision support systems, business analytics, financial risk management, and energy economics. He has published more than 90 papers in premier research journals and co-authored more than 10 books in international publishers.

José Rui Figueira is an Associate Professor with Habilitation at Instituto Superior Técnico of the University of Lisbon, Portugal. His research interests include multiple criteria decision analysis, multi-objective optimization, integer programming, and combinatorial optimization. He has published more than 80 papers in premier research journals and he is currently one of co-coordinators of the EURO Working Group on Multiple Criteria Decision Aiding. In recognition of his research work, he received the Gold Medal from the International Society on Multiple Criteria Decision Making.

Salvatore Greco is Professor at the Department of Economics and Business of the University of Catania, Italy, and part time professor at the Portsmouth Business School of the University of Portsmouth, United Kingdom. His research interests include multiple criteria decision aiding, rough set, non-additive integrals, evolutionary multi-objective optimization. He has published more than 100 papers in premier research journals and he is currently one of the co-coordinators of the EURO Working Group on Multiple Criteria Decision Aiding. In recognition of his research work, he received the Gold Medal from the International Society on Multiple Criteria Decision Making.

Constantin Zopounidis is Professor of Financial Engineering and Operations Research at the Technical University of Crete, Greece, Distinguished Research Professor at Audencia Business School, Nantes, France, Senior Academician of the Royal Academy of Economics and Financial Sciences of Spain, and President of the Financial Engineering and Banking Society (FEBS). He has edited and authored 95 books in international publishers and more than 500 research papers in scientific journals, edited volumes, conference proceedings and encyclopedias, in the areas of finance, accounting, operations research, and management science. In recognition of his research work, he has received several awards from international research societies such as the International Society on Multiple Criteria Decision Making, the Decision Sciences Institute, the MOISIL International Foundation, ESCP Europe, and the Hellenic Operational Research Society.

Inhalt
Part I: Basic Notions and Methods.- Part II: New Aggregation Approaches.- Part III: Goal Programming and Multi-objective-Optimization.- Part IV: Applications.