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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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發(fā)表于 2025-3-21 16:29:04 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Analytical Decision Making and Data Envelopment Analysis
期刊簡稱Advances and Challen
影響因子2023S.A Edalatpanah,Farhad Hosseinzadeh Lotfi,Peter Wa
視頻videohttp://file.papertrans.cn/168/167436/167436.mp4
發(fā)行地址Discusses the role and challenges of data envelopment analysis in decision making.Helps in managing complexity and uncertainty of problems.Reviews the advances in data envelopment analysis in decision
學科分類Infosys Science Foundation Series
圖書封面Titlebook: Analytical Decision Making and Data Envelopment Analysis; Advances and Challen S.A Edalatpanah,Farhad Hosseinzadeh Lotfi,Peter Wa Book 2024
影響因子.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
Pindex Book 2024
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A New Network Data Envelopment Analysis Model for Efficacy Evaluation of Decision-Making Units,ever-changing nature. Although Data Envelopment Analysis (DEA) has been used as a powerful tool for the evaluation of decision-making units, in the traditional DEA models, these units are viewed as a black box, and therefore their internal relationships are generally ignored, assuming that the perfo
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Application of Data Envelopment Analysis in Decision Making of Civil Engineering Problems,-making units (DMUs) using a nonparametric method. It is a mathematical programming method for assessing DMU performance. This method does not identify general relationships between all units. DEA is a frontier-based statistical regression method. In this chapter, two examples of DEA applications in
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