Overview
- Introduces various methods and applications in MCDM
- Focuses on important financial topics
- Includes unique examples for better understanding
Part of the book series: Multiple Criteria Decision Making (MCDM)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
Gökhan Silahtaroğlu is a Professor of Data Science andHead of the Department of Management Information Systems, Faculty of Economics and Administrative Sciences, Istanbul Medipol University (Turkey). Dr. Silahtaroğlu received his PhD in management sciences and quantitative methods from Istanbul University in 2005.
Hasan Dinçer is a Professor of Finance at the Faculty of Economics and Administrative Sciences, Istanbul Medipol University (Turkey). He has more than 150 scientific articles to his credit, many of which are indexed in SSCI, SCI-Expanded and Scopus. He is also the editor of numerous books published by Springer and IGI Global.
Serhat Yüksel is an Associate Professor of Finance at the Faculty of Economics and Administrative Sciences, Istanbul Medipol University (Turkey). He has more than 150 scientific articles, many of which are indexed in SSCI, SCI-Expanded and Scopus, to his credit. He is also the editor of various books published by Springer and IGI Global.
Bibliographic Information
Book Title: Data Science and Multiple Criteria Decision Making Approaches in Finance
Book Subtitle: Applications and Methods
Authors: Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel
Series Title: Multiple Criteria Decision Making
DOI: https://doi.org/10.1007/978-3-030-74176-1
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-74175-4Published: 30 May 2021
Softcover ISBN: 978-3-030-74178-5Published: 31 May 2022
eBook ISBN: 978-3-030-74176-1Published: 29 May 2021
Series ISSN: 2366-0023
Series E-ISSN: 2366-0031
Edition Number: 1
Number of Pages: XVI, 173
Number of Illustrations: 14 b/w illustrations
Topics: Operations Research/Decision Theory, Financial Engineering, Operations Research, Management Science, Data Structures and Information Theory, Artificial Intelligence