Titlebook: Analytical Decision Making and Data Envelopment Analysis; Advances and Challen S.A Edalatpanah,Farhad Hosseinzadeh Lotfi,Peter Wa Book 2024

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https://doi.org/10.1007/978-3-031-19679-9y general relationships between all units. DEA is a frontier-based statistical regression method. In this chapter, two examples of DEA applications in civil engineering are provided. Two of the applications relate to structural design engineering and earthquake engineering, respectively.

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Aaron Cooper,Matteo Danforth,April Edwardse relative efficiency and categorize flexible random variables by utilizing the proposed approach. According to the empirical evidence, efficiency levels exhibit no increment as risk levels increase. The utilization of stochastic observations is more informative when compared to the attainment of efficiency scores through precise measures.

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Zheng Zhou,Guangyao Dou,Xiaodong Qumodels based on input and output financial ratio values. The investigation will highlight the banks that function effectively, areas where bank efficiency is not up to par, and probable causes of inefficiency.

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Machine Learning Techniques and Efficiency Evaluation: A Survey of Methodological Contributions,sses. Thus, this survey represents a round-trip between two relatively unconnected fields to date: machine learning and frontier analysis. In particular, we conduct a review of the existing literature devoted to methodological aims.

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Book 2024fuzzy 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