Fuzzy classification using the data envelopment analysis

Parag Pendharkar

doi:10.1016/j.knosys.2012.03.007

Fuzzy classification using the data envelopment analysis

Parag Pendharkar

School of Business Administration (Harrisburg)

Research output: Contribution to journal › Article › peer-review

15 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 language	English (US)
Pages (from-to)	183-192
Number of pages	10
Journal	Knowledge-Based Systems
Volume	31
DOIs	https://doi.org/10.1016/j.knosys.2012.03.007
State	Published - Jul 1 2012

All Science Journal Classification (ASJC) codes

Management Information Systems
Software
Information Systems and Management
Artificial Intelligence

Access to Document

10.1016/j.knosys.2012.03.007

Cite this

@article{4c10b5a007a04fbeb32f8a5341b96565,

title = "Fuzzy classification using the data envelopment analysis",

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.",

author = "Parag Pendharkar",

year = "2012",

month = jul,

day = "1",

doi = "10.1016/j.knosys.2012.03.007",

language = "English (US)",

volume = "31",

pages = "183--192",

journal = "Knowledge-Based Systems",

issn = "0950-7051",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Fuzzy classification using the data envelopment analysis

AU - Pendharkar, Parag

PY - 2012/7/1

Y1 - 2012/7/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84859910730

UR - https://www.scopus.com/pages/publications/84859910730#tab=citedBy

U2 - 10.1016/j.knosys.2012.03.007

DO - 10.1016/j.knosys.2012.03.007

M3 - Article

AN - SCOPUS:84859910730

SN - 0950-7051

VL - 31

SP - 183

EP - 192

JO - Knowledge-Based Systems

JF - Knowledge-Based Systems

ER -

Fuzzy classification using the data envelopment analysis

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this