Fuzzy classification using the data envelopment analysis

被引：8
|
作者：
Pendharkar, Parag [1 ]
机构：
[1] Penn State Univ Harrisburg, Sch Business Adm, Middletown, PA 17057 USA
来源：
KNOWLEDGE-BASED SYSTEMS | 2012年 / 31卷
关键词：
Fuzzy membership functions; Fuzzy neural networks; Data envelopment analysis; Fuzzy classification; Data mining; RULE-BASED CLASSIFICATION; POTENTIAL USE; EVOLUTIONARY; PREDICTION; SYSTEMS;
D O I：
10.1016/j.knosys.2012.03.007
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码：183 / 192
页数：10
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