Twofold fuzzy sets and rough sets—Some issues in knowledge representation
Fuzzy Sets and Systems
Axiomatics for fuzzy rough sets
Fuzzy Sets and Systems
Fuzzy DEA: a perceptual evalution method
Fuzzy Sets and Systems
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Idea and Ar-Idea: Models for Dealing with Imprecise Data in Dea
Management Science
Data Envelopment Analysis using Fuzzy Concept
ISMVL '98 Proceedings of the The 28th International Symposium on Multiple-Valued Logic
On fuzzy-rough sets approach to feature selection
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Fuzzy reasoning based on a new fuzzy rough set and its application to scheduling problems
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Fuzzy assessment of performance of a decision making units using DEA: A non-radial approach
Expert Systems with Applications: An International Journal
Fuzzy data envelopment analysis: A fuzzy expected value approach
Expert Systems with Applications: An International Journal
Short communication: Fuzzy data envelopment analysis models with assurance regions: A note
Expert Systems with Applications: An International Journal
Fuzzy data envelopment analysis: A discrete approach
Expert Systems with Applications: An International Journal
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
| Hi-index | 12.05 |
Uncertainty is certain in the world of uncertainty. Measuring the performance of any entity in such an uncertain environment is unavoidable. Fuzzy rough data envelopment analysis (FRDEA) provides a room to evaluate the relative efficiency of homogenous entities, widely known as decision making units (DMUs) in the data envelopment analysis (DEA) literature. This paper attempts to create a fuzzy rough DEA model by integrating the classical DEA, fuzzy set theory, and rough set theory, which apparently provide a way to accommodate the uncertainty. Moreover, in contrast to the probability approach, this paper provides a pavement to measure the relative efficiency of any given DMUs in line with the possibility approach along with the fuzzy rough expected value operator.