Overview
- Includes innovative methodologies and applications to support effective resource management
- Presents a comprehensive introduction to resource management challenges and how to address them with MCDA tools
- Provides well documented applications and real world case studies
Part of the book series: Multiple Criteria Decision Making (MCDM)
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Table of contents (9 chapters)
Keywords
About this book
Editors and Affiliations
About the editor
Athanasios Spyridakos is Professor at Business Administration Department of University of West Attica and the last years serves as Dean of the Faculty of Business, Economical and Social Sciences. He received his PhD in Multicriteria Decision Support Systems from Technical University of Crete and he is a member of Hellenic Operational Research Society (HELORS). His research interests include multicriteria decision aid, decision support systems, knowledge management, data mining, multivariate data analysis and artificial intelligence. He worked for a long time for IT firms in large scale projects prior to his commitment to higher education and research activities. He is the author of more than 50 papers in journal, chapter books and conferences.
Bibliographic Information
Book Title: Multicriteria Decision Aid and Resource Management
Book Subtitle: Recent Research, Methods and Applications
Editors: Athanasios Spyridakos
Series Title: Multiple Criteria Decision Making
DOI: https://doi.org/10.1007/978-3-031-34892-1
Publisher: Springer Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-34891-4Published: 17 August 2023
Softcover ISBN: 978-3-031-34894-5Due: 13 October 2023
eBook ISBN: 978-3-031-34892-1Published: 16 August 2023
Series ISSN: 2366-0023
Series E-ISSN: 2366-0031
Edition Number: 1
Number of Pages: VIII, 170
Number of Illustrations: 1 b/w illustrations
Topics: Natural Resource and Energy Economics, Operations Research/Decision Theory, Mathematical Modeling and Industrial Mathematics, Natural Resources, Operations Research, Management Science, Human Resource Management