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Image of Data Science and Multiple Criteria Decision Making Approaches in Finance

Electronic Resource

Data Science and Multiple Criteria Decision Making Approaches in Finance

Dincer, Hasan - Personal Name; Yüksel, Serhat - Personal Name; Silahtaroğlu, Gökhan - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
2108000257EB0005001006.3 Sil dCentral Library (OPAC)Available
Detail Information
Series Title
Multiple Criteria Decision Making
Call Number
006.3 Sil d
Publisher
Switzerland : Springer Cham., 2021
Collation
xvi, 173p.:ill
Language
English
ISBN/ISSN
978-3-030-74176-1
Classification
006.3
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Artificial intelligence
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Data Science and Multiple Criteria Decision Making Approaches in Finance
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