Data envelopment analysis for efficiency measurement in the stochastic case
Computers and Operations Research
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Chance constrained efficiency evaluation
Management Science
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
On fuzzy-set interpretation of possibility theory
Fuzzy Sets and Systems
Fuzzy DEA: a perceptual evalution method
Fuzzy Sets and Systems
Data Envelopment Analysis: Theory, Methodology, and Application
Data Envelopment Analysis: Theory, Methodology, and Application
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Data Envelopment Analysis: A Comprehensive Text with Models, Applications References, and DEA-Solver Software with Cdrom
Fuzzy Mathematical Programming: Methods and Applications
Fuzzy Mathematical Programming: Methods and Applications
Idea and Ar-Idea: Models for Dealing with Imprecise Data in Dea
Management Science
Uncertain probabilities II: the continuous case
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Uncertain probabilities III: the continuous case
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Measurability criteria for fuzzy random vectors
Fuzzy Optimization and Decision Making
A simple approximation of productivity scores of fuzzy production plans
Fuzzy Sets and Systems
Aggregating preference ranking with fuzzy Data Envelopment Analysis
Knowledge-Based Systems
An ideal-seeking fuzzy data envelopment analysis framework
Applied Soft Computing
Fuzzy data envelopment analysis: A fuzzy expected value approach
Expert Systems with Applications: An International Journal
Fuzzy classification using the data envelopment analysis
Knowledge-Based Systems
Self-organizing fuzzy aggregation models to rank the objects with multiple attributes
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Fuzzy stochastic data envelopment analysis with application to base realignment and closure (BRAC)
Expert Systems with Applications: An International Journal
A concept of fuzzy input mix-efficiency in fuzzy DEA and its application in banking sector
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
Data Envelopment Analysis (DEA) is a widely used mathematical programming technique for comparing the inputs and outputs of a set of homogenous Decision Making Units (DMUs) by evaluating their relative efficiency. The conventional DEA methods assume deterministic and precise values for the input and output observations. However, the observed values of the input and output data in real-world problems can potentially be both random and fuzzy in nature. We introduce Random Fuzzy (Ra-Fu) variables in DEA where randomness and vagueness coexist in the same problem. In this paper, we propose three DEA models for measuring the radial efficiency of DMUs when the input and output data are Ra-Fu variables with Poisson, uniform and normal distributions. We then extend the formulation of the possibility-probability and the necessity-probability DEA models with Ra-Fu parameters for a production possibility set where the Ra-Fu inputs and outputs have normal distributions with fuzzy means and variances. We finally propose the general possibility-probability and necessity-probability DEA models with fuzzy thresholds. A set of numerical examples and a case study are presented to demonstrate the efficacy of the procedures and algorithms.