Fuzzy classification using the data envelopment analysis

Research output: Contribution to journalArticlepeer-review

13 Citations (SciVal)

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.

Original languageEnglish (US)
Pages (from-to)183-192
Number of pages10
JournalKnowledge-Based Systems
Volume31
DOIs
StatePublished - Jul 1 2012

All Science Journal Classification (ASJC) codes

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

Fingerprint

Dive into the research topics of 'Fuzzy classification using the data envelopment analysis'. Together they form a unique fingerprint.

Cite this