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Data Science and Multiple Criteria Decision Making Approaches in Finance - Applications and Methods (Hardcover, 1st ed. 2021) Loot Price: R2,704
Discovery Miles 27 040
Data Science and Multiple Criteria Decision Making Approaches in Finance - Applications and Methods (Hardcover, 1st ed. 2021):...

Data Science and Multiple Criteria Decision Making Approaches in Finance - Applications and Methods (Hardcover, 1st ed. 2021)

Goekhan Silahtaroglu, Hasan Dincer, Serhat Yuksel

Series: Multiple Criteria Decision Making

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Loot Price R2,704 Discovery Miles 27 040 | Repayment Terms: R253 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Multiple Criteria Decision Making
Release date: May 2021
First published: 2021
Authors: Goekhan Silahtaroglu • Hasan Dincer • Serhat Yuksel
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 173
Edition: 1st ed. 2021
ISBN-13: 978-3-03-074175-4
Categories: Books > Business & Economics > Finance & accounting > Finance > General
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
Books > Money & Finance > General
LSN: 3-03-074175-3
Barcode: 9783030741754

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