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Analytical Decision Making and Data Envelopment Analysis Advances and Challenges /

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 bo...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Edalatpanah, S.A (Editor), Hosseinzadeh Lotfi, Farhad (Editor), Kerstens, Kristiaan (Editor), Wanke, Peter (Editor)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edición:1st ed. 2024.
Colección:Infosys Science Foundation Series in Mathematical Sciences,
Materias:
Operations research.
Computational complexity.
Operations Research and Decision Theory.
Computational Complexity.
Acceso en línea:https://doi.org/10.1007/978-981-97-6972-8
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Tabla de Contenidos:
  • Chapter 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.

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