Overview
- Presents a detailed and comprehensive perspective on preference disaggregation analysis
- Includes different MCDA approaches where preference aggregation-disaggregation can be applied
- Comprehensively covers both the theory and applications from several domains
Part of the book series: Multiple Criteria Decision Making (MCDM)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(10 chapters)
About this book
This book was published in honor of Yannis Siskos on the occasion of his retirement from the University of Piraeus, Greece. It offers a unique snapshot of the preference disaggregation philosophy in multiple criteria decision analysis and presents a range of research ideas, many of which were significantly influenced by Professor Siskos work.
Editors and Affiliations
-
Technical University of Crete, Chania, Greece
Nikolaos Matsatsinis, Evangelos Grigoroudis
About the editors
Dr. Evangelos Grigoroudis is Professor on Management of Quality Processes in the School of Production Engineering and Management of the Technical University of Crete, Greece. He is Vice-President of the Hellenic Operational Research Society (HELORS) and acts as reviewer for more than 70 scientific journals. He is associate editor of 7 scientific journals and member of the Editorial Board of 5 scientific journals.
Bibliographic Information
Book Title: Preference Disaggregation in Multiple Criteria Decision Analysis
Book Subtitle: Essays in Honor of Yannis Siskos
Editors: Nikolaos Matsatsinis, Evangelos Grigoroudis
Series Title: Multiple Criteria Decision Making
DOI: https://doi.org/10.1007/978-3-319-90599-0
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-90598-3Published: 30 May 2018
Softcover ISBN: 978-3-030-08051-8Published: 30 January 2019
eBook ISBN: 978-3-319-90599-0Published: 29 May 2018
Series ISSN: 2366-0023
Series E-ISSN: 2366-0031
Edition Number: 1
Number of Pages: XIX, 235
Number of Illustrations: 63 b/w illustrations, 5 illustrations in colour
Topics: Operations Research/Decision Theory, Operations Research, Management Science