A procedure for ranking efficient units in data envelopment analysis
Management Science
Data Envelopment Analysis: A Comprehensive Text with Models, Applications References, and DEA-Solver Software with Cdrom
A Hybrid Representation of Vague Collections for Distributed Object Management Systems
IEEE Transactions on Knowledge and Data Engineering
A fuzzy multiple objective programming to DEA with imprecise data
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
The use of grey relational analysis in solving multiple attribute decision-making problems
Computers and Industrial Engineering
Data envelopment analysis of reservoir system performance
Computers and Operations Research - Articles presented at the conference on routing and location (CORAL)
Fuzzy Sets and Systems
Information Sciences: an International Journal
Mathematical and Computer Modelling: An International Journal
Computers & Mathematics with Applications
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Qualitative input is encountered in many real decision-making domains. Often such domains include tradeoffs among multiple attributes, and estimates of parameters are often expressed with some degree of uncertainty. Grey related analysis has been proposed as a means to use interval fuzzy representation of data. When dealing with multiple criteria data, model parameters that can involve uncertainty include both performances of alternatives on attributes as well as attribute weights. DEA is proposed as an objective way to derive weights. This paper presents a grey-related fuzzy set methodology incorporating data envelopment analysis as a way to more objectively rank alternatives. The purpose is to demonstrate the method. The focus is on identifying alternatives performing the most efficiently with respect to the decision maker's preference. The method is demonstrated on a multiattribute siting problem. Simulation is applied to validate model efficiency.