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Fuzzy Investment Decision Making With Examples

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Fuzzy Investment Decision Making With Examples Synopsis

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.

About This Edition

ISBN: 9783031546594
Publication date:
Author: Cengiz Kahraman, Elif Haktanir
Publisher: Springer an imprint of Springer Nature Switzerland
Format: Hardback
Pagination: 255 pages
Genres: Production and industrial engineering
Corporate finance
Management decision making
Operational research
Finance and the finance industry