Fuzzy Investment Decision Making with Examples (PDF)
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This book is a practical and theoretical guide that demonstrates how to leverage investment data in numerical models despite uncertainty and ambiguity. The author presents innovative methods that incorporate fuzzy set theory to overcome the imprecision of expert opinions and appraisals. Through real industry case studies and comparative analyses, the book provides a comprehensive understanding of how these novel approaches can be implemented to measure robustness.
This book is a must-read for managers involved in investment decision making, for economists, lecturers, as well as M.Sc. and Ph.D. students studying investment decision-making.
Dr. Elif Haktanir received the degrees of M.S. (2018) and Ph.D. (2022) in industrial engineering from the Istanbul Technical University in Turkey. She is currently an assistant professor at Bahcesehir University (Istanbul). She is one of the organization committee members of international conference on intelligent and fuzzy systems. Her main research interests include fuzzy logic, multi-criteria decision-making, and engineering economics. She is the editor of the book Intelligent Systems in Digital Transformation (Springer). She has reviewed several articles in Journal of Intelligent & Fuzzy Systems, Complex & Intelligent Systems, and some other journals.
- Autoren: Cengiz Kahraman , Elif Haktanir
- 2024, 2024, 255 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031546601
- ISBN-13: 9783031546600
- Erscheinungsdatum: 20.03.2024
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 6.36 MB
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