This 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.
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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 [...]. (Estratto dal sito dell'editore)
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*Analytical decision making and data envelopment analysis : advances and challenges / S. A. Edalatpanah ... [et al.] editors. - Singapore : Springer, 2024. - 1 testo elettronico (xi, 489 p. : ill.)
