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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.
| Autorius: | Gökhan Silahtaro¿lu, Serhat Yüksel, Hasan Dinçer, |
| Serija: | Multiple Criteria Decision Making |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2022 |
| Knygos puslapių skaičius: | 192 |
| ISBN-10: | 3030741788 |
| ISBN-13: | 9783030741785 |
| Formatas: | 235 x 155 x 11 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods“
