Frontier Assignment for Sensitivity Analysis of Data Envelopment Analysis

2010 ◽  
Vol 130 (4) ◽  
pp. 540-545
Author(s):  
Akio Naito ◽  
Shingo Aoki ◽  
Hiroshi Tsuji
Keyword(s):  
Sensitivity Analysis ◽  
Data Envelopment Analysis ◽  
Data Envelopment

scholarly journals Applications of DEA

2019 ◽  
Vol 8 (12) ◽  
pp. 3337-3341
Keyword(s):  
Sensitivity Analysis ◽  
Data Envelopment Analysis ◽  
Variable Selection ◽  
Efficiency Measurement ◽  
Data Envelopment ◽  
Selection Methods ◽  
Seminal Paper ◽  
The Public ◽  
Methodological Aspects

Data Envelopment Analysis (DEA), an efficiency measurement and benchmarking technique originated in 1978 with the publication of the seminal paper of Charnes et al (1978) has evolved into an important technique over the years. This paper attempts to critically review the various methodological aspects of DEA for application in any domain in the public or private sectors. In specific it reviews some of the important literature available on a) variable selection methods in DEA, b) Sensitivity analysis and ranking of DMUs and c) some of the applications it has been put into over the last four decades. The focus is on specific practical aspects of applying DEA in any particular field.

Perfect Partners of Mathematical Modeling with Technology in Risk Assessment

2016 ◽  
pp. 61-90
Author(s):  
William P. Fox
Keyword(s):  
Mathematical Modeling ◽  
Risk Assessment ◽  
Game Theory ◽  
Decision Making ◽  
Sensitivity Analysis ◽  
Linear Programming ◽  
Data Envelopment Analysis ◽  
Discrete Dynamical Systems ◽  
Data Envelopment ◽  
Multi Attribute Decision Making

This chapter discusses the use of mathematical modeling with technology in risk assessment in the broad area of operations research. The authors provide modeling as a process and illustrate suggested steps in the process. This chapter reviews some of the main modeling texts and provide a brief discussion of their processes. Many illustrative examples are provided to show the breadth of mathematical modeling. These examples cover such topics as discrete dynamical systems, game theory, multi-attribute decision making, data envelopment analysis with linear programming, and integer programming. The authors discuss the important of sensitivity analysis, as applicable. Several scenarios are used as illustrative examples of the process.

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