Kahraman, Cengiz. creator author. aut http://id.loc.gov/vocabulary/relators/aut Haktanır, Elif. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XIV, 255 p. 36 illus., 33 illus. in color. online resource. 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. 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. by Cengiz Kahraman, Elif Haktanır. Industrial engineering Production engineering Operations research Valuation Finance Industrial and Production Engineering Operations Research and Decision Theory Investment Appraisal Financial Economics T55.4-60.8 9783031546600 https://doi.org/10.1007/978-3-031-54660-0 https://doi.org/10.1007/978-3-031-54660-0 240320 20251030111733.0 978-3-031-54660-0