Adaptive non-parametric efficiency frontier analysis: a neural-network-based model

DOI10.1016/S0305-0548(01)00095-8zbMath1012.62055OpenAlexW2066044086MaRDI QIDQ1869901

Shouhong Wang

Publication date: 28 April 2003

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0305-0548(01)00095-8

zbMATH Keywords

neural networksregressionefficiency analysisdata envelopment analysis (DEA)stochastic efficiencyfirms' performancefrontiers

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Operations research and management science (90B99) Neural nets and related approaches to inference from stochastic processes (62M45) Nonparametric inference (62G99)

Related Items (3)

Trajectories of efficiency measurement: a bibliometric analysis of DEA and SFA ⋮ An integrated artificial neural network and fuzzy clustering algorithm for performance assessment of decision making units ⋮ Determining sources of relative inefficiency in heterogeneous samples: methodology using cluster analysis, DEA and neural networks

Cites Work

• Measuring the efficiency of decision making units
• Polyhedral cone-ratio DEA models with an illustrative application to large commercials banks
• A gamma-distributed stochastic frontier model
• Recent developments in DEA. The mathematical programming approach to frontier analysis
• Nonlinear measures of technical efficiency
• Maximum likelihood estimation of econometric frontier functions
• Formulation and estimation of stochastic frontier production function models
• Nonparametric econometric modelling: A neural network approach
• Satisficing DEA models under chance constraints
• Robust decisions in economic models
• Resource-Use Efficiency in Public Schools: A Study of Connecticut Data
• Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation
• Chance Constrained Efficiency Evaluation
• Approximation by superpositions of a sigmoidal function
• Data envelopment analysis

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