Data science and multiple criteria decision making approaches in finance

By: Silahtaroglu, Gokhan Material type: Text

TextPublication details: Switzerland Springer 2021 Description: xvi, 173 pISBN: 9783030741754Subject(s): Multiple criteria decision making | Data mining | Fuzzy logic | Management scienceDDC classification: 658.403 Summary: About this book 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.

List(s) this item appears in: IT & Decision Sciences | Finance & Accounting

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	658.403 SIL (Browse shelf(Opens below))	1	Available		002783

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About this book
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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