Computers and Operations Research
A fuzzy multiple objective programming to DEA with imprecise data
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Information and Management
Search Strategies in Shopping Engines: An Experimental Investigation
International Journal of Electronic Commerce
Decision's problem with the help of imprecise data envelopment analysis (IDEA)
ICS'05 Proceedings of the 9th WSEAS International Conference on Systems
Fuzzy data envelopment analysis (DEA): Model and ranking method
Journal of Computational and Applied Mathematics
Fuzzy data envelopment analysis and its application to location problems
Information Sciences: an International Journal
SBM and Bipolar Models in Data Envelopment Analysis with Interval Data
MDAI '08 Sabadell Proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence
Interval efficiency assessment using data envelopment analysis
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
A new ranking method to fuzzy data envelopment analysis
Computers & Mathematics with Applications
An efficiency-driven approach for setting revenue target
Decision Support Systems
A robust optimization approach for imprecise data envelopment analysis
Computers and Industrial Engineering
An ideal-seeking fuzzy data envelopment analysis framework
Applied Soft Computing
Expert Systems with Applications: An International Journal
The problem of intervals in imprecise data envelopment analysis (IDEA)
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
Sensitivity and stability analysis in fuzzy data envelopment analysis
Fuzzy Optimization and Decision Making
A geometrical approach for fuzzy DEA frontiers using different T norms
WSEAS TRANSACTIONS on SYSTEMS
Integrated framework of risk evaluation and risk allocation with bounded data
Expert Systems with Applications: An International Journal
A new DEA method for supplier selection in presence of both cardinal and ordinal data
Expert Systems with Applications: An International Journal
Duality and efficiency computations in the cost efficiency model with price uncertainty
Computers and Operations Research
Computers and Industrial Engineering
International Journal of Automation and Computing
Piecewise Linear Virtual Inputs/Outputs in Interval DEA
International Journal of Operations Research and Information Systems
Chance-constrained DEA models with random fuzzy inputs and outputs
Knowledge-Based Systems
Fuzzy rough DEA model: A possibility and expected value approaches
Expert Systems with Applications: An International Journal
Common weights data envelopment analysis with uncertain data: A robust optimization approach
Computers and Industrial Engineering
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Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs. An assumption underlying DEA is that all the data assume the form of specific numerical values. In some applications, however, the data may be imprecise. For instance, some of the data may be known only within specified bounds, while other data may be known only in terms of ordinal relations. DEA with imprecise data or, more compactly, the Imprecise Data Envelopment Analysis (IDEA) method developed in this paper permits mixtures of imprecisely- and exactly-known data, which the IDEA models transform into ordinary linear programming forms. This is carried even further in the present paper to comprehend the now extensively employed Assurance Region (AR) concepts in which bounds are placed on the variables rather than the data. We refer to this approach as AR-IDEA, because it replaces conditions on the variables with transformations of the data and thus also aligns the developments we describe in this paper with what are known as cone-ratio envelopments in DEA. As a result, one unified approach, referred to as the AR-IDEA model, is achieved which includes not only imprecise data capabilities but also assurance region and cone-ratio envelopment concepts.