Analytical Decision Making and Data Envelopment Analysis Advances and Challenges

Language: English

Published by Springer, 2024

981976971X / 9789819769711

Series: Book 23 of 38 - Infosys Science Foundation

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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. 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. Sprache: Englisch Gewicht in Gramm: 864. …

Title
Analytical Decision Making and Data Envelopment Analysis Advances and Challenges
Publisher
Springer
Publication year
2024
Condition
Neu
Binding
Gebundene Ausgabe
Language
English
ISBN 10
981976971X
ISBN 13
9789819769711
Item weight
864 grams
Series
Book 23 of 38: Infosys Science Foundation

Home-set

Mannheim, Germany

5-star seller

AbeBooks seller since April 13, 2026

Shipping rates from Germany to U.S.A.

Item10 to 12 business days8 to 10 business days
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Home-set

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