LEADER 00926nam0 22002531i 450 001 UON00221979 005 20231205103418.880 100 $a20030730d1966 |0itac50 ba 101 $ahun 102 $aHU 105 $a|||| ||||| 200 1 $aÖsszes versei és mufordításai$fRadnóti Miklós 210 $a Budapest$cMagyar Helikon$d1966 215 $a383 p.$d18 cm. 620 $aHU$dBudapest$3UONL000090 676 $a894.511$cLetteratura ungherese$v21 700 1$aRADNOTI$bMiklós$3UONV134485$0390128 712 $aMagyar Helikon$3UONV280165$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00221979 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI UNGHERESE A RAD 0002 $eSI FU 393 5 0002 996 $aÖsszes versei és mufordításai$91268382 997 $aUNIOR LEADER 03119nam 22006615 450 001 9910845495103321 005 20240320203115.0 010 $a9783031546600 010 $a3031546601 024 7 $a10.1007/978-3-031-54660-0 035 $a(MiAaPQ)EBC31225675 035 $a(Au-PeEL)EBL31225675 035 $a(DE-He213)978-3-031-54660-0 035 $a(CKB)31076974900041 035 $a(OCoLC)1428155516 035 $a(EXLCZ)9931076974900041 100 $a20240320d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFuzzy Investment Decision Making with Examples /$fby Cengiz Kahraman, Elif Haktan?r 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (0 pages) 311 08$a9783031546594 311 08$a3031546598 327 $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. 330 $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. 606 $aIndustrial engineering 606 $aProduction engineering 606 $aOperations research 606 $aValuation 606 $aFinance 606 $aIndustrial and Production Engineering 606 $aOperations Research and Decision Theory 606 $aInvestment Appraisal 606 $aFinancial Economics 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aOperations research. 615 0$aValuation. 615 0$aFinance. 615 14$aIndustrial and Production Engineering. 615 24$aOperations Research and Decision Theory. 615 24$aInvestment Appraisal. 615 24$aFinancial Economics. 676 $a670 700 $aKahraman$b Cengiz$0738471 701 $aHaktan?r$b Elif$01734366 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845495103321 996 $aFuzzy Investment Decision Making with Examples$94151205 997 $aUNINA