A combined use of DEA (Data Envelopment Analysis) with Strong Complementary Slackness Condition and DEA-DA (Discriminant Analysis)

被引：35

作者：

Sueyoshi, Toshiyuki ^{[1
]}

Goto, Mika ^{[2
]}

机构：

[1] New Mexico Inst Min & Technol, Dept Management, Socorro, NM 87801 USA

[2] Cent Res Inst Elect Power Ind, Komae, Tokyo 2018511, Japan

来源：

APPLIED MATHEMATICS LETTERS | 2011年 / 24卷 / 07期

关键词：

DEA; Strong Complementary Slackness Condition; Discriminant Analysis; RETURNS; SCALE;

D O I：

10.1016/j.aml.2011.01.021

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This study discusses a combined use of DEA (Data Environment Analysis) with SCSC (Strong Complementary Slackness Condition) and DEA-DA (Discriminant Analysis). Many studies use DEA to evaluate the performance of various organizations in private and public sectors. A conventional use of DEA is not perfect because it still contains zero in many multipliers. This implies that DEA does not fully utilize information on all inputs and outputs. As a result, DEA produces many efficient organizations. To overcome the methodological difficulty, this study proposes a new use of DEA/SCSC and DEA-DA to reduce the number of efficient organizations. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1051 / 1056

页数：6

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