Abstract
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.
| Original language | English |
|---|---|
| Publisher | Springer Nature |
| Number of pages | 255 |
| ISBN (Electronic) | 9783031546600 |
| ISBN (Print) | 9783031546594 |
| DOIs | |
| Publication status | Published - 20 Mar 2024 |
Bibliographical note
Publisher Copyright:© The Editor(s) (if applicable) and The Author(s), 2024. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Decision making
- Engineering economics
- Extensions of fuzzy sets
- Fuzzy sets
- Intuitionistic fuzzy sets
- Investment analysis
- Multi-criteria decision making
- Spherical fuzzy sets
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