LEADER 03746nam 22005895 450 001 9910900178503321 005 20241029115555.0 010 $a9789819769728 010 $a9819769728 024 7 $a10.1007/978-981-97-6972-8 035 $a(MiAaPQ)EBC31743878 035 $a(Au-PeEL)EBL31743878 035 $a(CKB)36414856900041 035 $a(DE-He213)978-981-97-6972-8 035 $a(OCoLC)1464590778 035 $a(EXLCZ)9936414856900041 100 $a20241029d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalytical Decision Making and Data Envelopment Analysis $eAdvances and Challenges /$fedited by S.A Edalatpanah, Farhad Hosseinzadeh Lotfi, Kristiaan Kerstens, Peter Wanke 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (492 pages) 225 1 $aInfosys Science Foundation Series in Mathematical Sciences,$x2364-4044 311 08$a9789819769711 311 08$a981976971X 327 $aChapter 1 Merging Data Envelopment Analysis and Atructural Risk Minimization: Some Examples of Use of Multi-Output Machine Learning Techniques on Real-World Data -- Chapter 2 A New Network Data Envelopment Analysis Model for Efficacy Evaluation of Decision-Making Units -- Chapter 3 Possibilistic Network DEA Approach for Performance Evaluation of Two-Stage Decision-Making Units under Uncertainty. 330 $aThis book explores the intersection of data envelopment analysis (DEA) and various analytical decision-making methodologies. Featuring contributions from experts in the field from across the world, each chapter delves into different aspects of DEA and its applications in real-world scenarios. The book covers a wide range of topics, including integrating DEA with machine learning techniques, performance evaluation in diverse sectors like banking and civil engineering, and using DEA in managerial decision-making. It also examines data mining during the Covid-19 pandemic and the application of blockchain and IoT in supply chain management. The book offers a deep dive into the evolution of nonparametric frontier methods and the development of new optimization algorithms, addressing the complexities of modern analytical decision-making tools. A few chapters delve into futuristic topics like fuzzy sets and their extensions in decision-making and exploring e-learning platforms for education. This book is an invaluable resource for researchers, practitioners and students interested in the latest DEA advancements and practical applications in various fields. Its multidisciplinary approach makes it a useful addition to the libraries of those seeking to understand the complexities and potentials of modern analytical decision-making tools. 410 0$aInfosys Science Foundation Series in Mathematical Sciences,$x2364-4044 606 $aOperations research 606 $aComputational complexity 606 $aOperations Research and Decision Theory 606 $aComputational Complexity 615 0$aOperations research. 615 0$aComputational complexity. 615 14$aOperations Research and Decision Theory. 615 24$aComputational Complexity. 676 $a658.403 700 $aEdalatpanah$b S. A$01767244 701 $aHosseinzadeh Lotfi$b Farhad$01356586 701 $aKerstens$b Kristiaan$01767245 701 $aWanke$b Peter$01767246 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910900178503321 996 $aAnalytical Decision Making and Data Envelopment Analysis$94212253 997 $aUNINA