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

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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.

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Product Description

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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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Multiple Criteria Decision Making

Release date

May 2021

Availability

Expected to ship within 10 - 15 working days

First published

2021

Authors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

173

Edition

1st ed. 2021

ISBN-13

978-3-03-074175-4

Barcode

9783030741754

Categories

LSN

3-03-074175-3



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