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001 402138
003 DE-He213
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020 _a9783031546600
024 7 _a10.1007/978-3-031-54660-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aT55.4-60.8
_b2024 EB
100 1 _aKahraman, Cengiz.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 0 0 _aFuzzy Investment Decision Making with Examples
_cby Cengiz Kahraman, Elif Haktan�r
250 _a1st ed. 2024.
264 1 _aCham
_bSpringer International Publishing
_c2024
300 _a1 recurso en li��nea
336 _atexto
_btxt
_2rdacontent
337 _aelectro��nico
_bc
_2rdamedia
338 _arecurso electro��nico
_bcr
_2rdacarrier
505 0 _aDecision 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.
520 _aThis 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.
942 _2lcc
_cLE
988 _aSpringer_Engineering_2024
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-54660-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
999 _c402138
_d402138