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240403 ||| eng |
| 020 |
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|a 9783031546600
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| 100 |
1 |
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|a Kahraman, Cengiz
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| 245 |
0 |
0 |
|a Fuzzy Investment Decision Making with Examples
|h Elektronische Ressource
|c by Cengiz Kahraman, Elif Haktanır
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| 250 |
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|a 1st ed. 2024
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| 260 |
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|a Cham
|b Springer Nature Switzerland
|c 2024, 2024
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| 300 |
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|a XIV, 255 p. 36 illus., 33 illus. in color
|b online resource
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| 505 |
0 |
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|a Decision making under fuzziness -- History of fuzzy sets -- Discounted cash flow computation under fuzziness -- Fuzzy present worth analysis -- Fuzzy annual worth analysis -- Fuzzy cost-benefit analysis -- Fuzzy break-even analysis -- Fuzzy sensitivity analysis -- Fuzzy risk adjusted discount rate and certainty equivalent methods -- Fuzzy replacement analysis -- Fuzzy capital budgeting with linear programming -- Fuzzy multi-criteria investment decision making -- Conclusions and future directions
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| 653 |
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|a Finance
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| 653 |
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|a Valuation
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| 653 |
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|a Operations research
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| 653 |
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|a Industrial engineering
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| 653 |
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|a Investment Appraisal
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| 653 |
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|a Industrial and Production Engineering
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| 653 |
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|a Financial Economics
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| 653 |
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|a Operations Research and Decision Theory
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| 653 |
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|a Production engineering
|
| 700 |
1 |
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|a Haktanır, Elif
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-3-031-54660-0
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-031-54660-0?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 670
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| 520 |
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|a 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
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