Fuzzy Investment Decision Making with Examples



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Éditeur :

Springer


Paru le : 2024-03-20



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Description

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.
Pages
255 pages
Collection
n.c
Parution
2024-03-20
Marque
Springer
EAN papier
9783031546594
EAN PDF
9783031546600

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
6676 Ko
Prix
137,14 €
EAN EPUB
9783031546600

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
20439 Ko
Prix
137,14 €

Cengiz Kahraman graduated from Kuleli Military High School in 1983. He received his B.Sc. degree in 1988, M.Sc. degree in 1990, and Ph.D. degree in 1996 from Industrial Engineering of Istanbul Technical University. Prof. Kahraman is now a full professor at Istanbul Technical University. His research areas are engineering economics, quality control and management, statistical decision-making, multi-criteria decision-making, and fuzzy decision-making. He published about 350 journal papers and about 250 conference papers. He became the guest editor of many international journals and the editor of many international books from Springer and Atlantis Press. He is the member of editorial boards of 20 international journals. He organized various conferences such as FLINS, RACR, FSSCMIE, and INFUS. He was the vice dean of ITU Management Faculty between 2004 and 2007 and the head of ITU Industrial Engineering Department between 2010 and 2013.

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. 

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