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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods - Couverture souple
Synopsis
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.
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À propos de l?auteur
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.
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Data Science and Multiple Criteria Decision Making Approaches in Finance : Applications and Methods
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Data Science and Multiple Criteria Decision Making Approaches in Finance (Paperback)
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Paperback. Etat : new. Paperback. 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. This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM) methods. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783030741785
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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
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Data Science and Multiple Criteria Decision Making Approaches in Finance : Applications and Methods
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Springer, 2022
ISBN 10 : 3030741788
ISBN 13 : 9783030741785
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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
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Data Science and Multiple Criteria Decision Making Approaches in Finance
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 192 pp. Englisch. N° de réf. du vendeur 9783030741785
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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
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