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.
1139032795
Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
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.
64.99
In Stock
5
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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
173Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
173Paperback(1st ed. 2021)
$64.99
64.99
In Stock
Product Details
ISBN-13: | 9783030741785 |
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Publisher: | Springer International Publishing |
Publication date: | 05/30/2021 |
Series: | Multiple Criteria Decision Making |
Edition description: | 1st ed. 2021 |
Pages: | 173 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |
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