Data Science and Multiple Criteria Decision Making Approaches in Finance

Beschreibung

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.
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.
Introduces various methods and applications in MCDM Focuses on important financial topics Includes unique examples for better understanding

Autor*in

Gökhan Silahtaroğlu

Themen in »Data Science and Multiple Criteria Decision Making Approaches in Finance«

Text Mining Machine Learning Artificial Neural Networks Fuzzy DEMATEL Financial Crisis Fuzzy TOPSIS Data Mining Economic Development Fuzzy ANP

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