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Multiple Criteria Decision Making

Data Science and Multiple Criteria Decision Making Approaches in Finance

Applications and Methods

Authors: Silahtaroğlu, Gökhan, Dinçer, Hasan, Yüksel, Serhat

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  • Introduces various methods and applications in MCDM
  • Focuses on important financial topics
  • Includes unique examples for better understanding
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eBook $69.99
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  • ISBN 978-3-030-74176-1
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Hardcover $89.99
price for USA in USD
  • ISBN 978-3-030-74175-4
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  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM) methods. It introduces readers to a range of data science methods, and demonstrates their application in the fields of business, health, economics, finance and engineering. In addition, it provides suggestions based on the assessment results on each topic, which can help to enhance the efficiency of the financial system and the sustainability of economic development. Given its scope, the book will help readers broaden their perspective on the assessment and evaluation of financial issues using data science and MCDM approaches.

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.

Table of contents (8 chapters)

Table of contents (8 chapters)
  • Introduction to Data Science and Machine Learning Algorithms

    Pages 1-15

    Silahtaroğlu, Gökhan (et al.)

  • Identifying Indicators of Global Financial Crisis with Fuzzy Logic and Data Science: A Comparative Analysis Between Developing and Developed Economies

    Pages 17-53

    Silahtaroğlu, Gökhan (et al.)

  • Determining the Ways to Increase Economic Growth of Developing and Developed Economies: An Application with Data Mining and Fuzzy TOPSIS

    Pages 55-75

    Silahtaroğlu, Gökhan (et al.)

  • Profitability Prediction of Turkish Banking Industry: A Comparative Analysis with Data Science and Fuzzy ANP

    Pages 77-108

    Silahtaroğlu, Gökhan (et al.)

  • The Influence of the Politicians on Macroeconomic Performance: An Analysis of Donald Trump’s Tweets

    Pages 109-127

    Silahtaroğlu, Gökhan (et al.)

Buy this book

eBook $69.99
price for USA in USD
  • ISBN 978-3-030-74176-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $89.99
price for USA in USD
  • ISBN 978-3-030-74175-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Data Science and Multiple Criteria Decision Making Approaches in Finance
Book Subtitle
Applications and Methods
Authors
Series Title
Multiple Criteria Decision Making
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-74176-1
DOI
10.1007/978-3-030-74176-1
Hardcover ISBN
978-3-030-74175-4
Series ISSN
2366-0023
Edition Number
1
Number of Pages
XVI, 173
Number of Illustrations
14 b/w illustrations
Topics