Fuzzy classification using the data envelopment analysis

Authors:
Parag Pendharkar
Affiliations:
School of Business Administration, Penn State University at Harrisburg, 777 West Harrisburg Pike, Middletown, PA 17057, United States
Venue:
Knowledge-Based Systems
Year:
2012

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Abstract

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.