Fuzzy classification using the data envelopment analysis
We develop a fuzzy classification system using data envelopment analysis (DEA) and illustrate its application using a simple graduate admissions decision-making problem. Using simulated and real-world datasets, we benchmark the proposed DEA based fuzzy classification system (DBFCS) with the adaptive neuro fuzzy inference system (ANFIS), fuzzy rule based classification system (FRCS) and logistic regression (Logit); and illustrate that the DBFCS outperforms all competing models.
fuzzy classification data envelopment analysis fuzzy membership functions fuzzy neural networks data mining