Fuzzy classification using the data envelopment analysis

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13 Citations (SciVal)


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.

Original languageEnglish (US)
Pages (from-to)183-192
Number of pages10
JournalKnowledge-Based Systems
StatePublished - Jul 1 2012

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Software
  • Information Systems and Management
  • Artificial Intelligence


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