DEA Optimization with Neural Network in Benchmarking Process

被引：2

作者：

Abdullah, D. ^{[1
,2
]}

Tulus ^{[2
]}

Suwilo, S. ^{[2
]}

Effendi, S. ^{[2
]}

Hartono ^{[3
]}

机构：

[1] Univ Malikussaleh, Dept Comp Sci, Lhokseumawe, Indonesia

[2] Univ Sumatera Utara, Dept Comp Sci, Medan, Indonesia

[3] STMIK IBBI, Dept Comp Sci, Medan, Indonesia

来源：

2ND ANNUAL APPLIED SCIENCE AND ENGINEERING CONFERENCE (AASEC 2017) | 2018年 / 288卷

关键词：

D O I：

10.1088/1757-899X/288/1/012041

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The object of research that will be examined in this study is the problem of benchmarking by using Data Envelopment Analysis (DEA). The result of benchmarking obtained through the DEA method in the form of benchmarking values should be studies as a pattern when there is a new data can be directly predicted. On this side required a well-known application of Artificial Neural Networks in studying existing patterns. The results of this study are in the form of optimization is performed on DEA method to guarantee the principle of quality assurance in detecting early the quality of a new pattern emerging. Based on the result of the research, we can predict emerging new patterns that become in efficient.

引用

页数：8

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