Research And Application of E-government Evaluation Model Based on BP Neural Network

被引：0

作者：

Wei, Hengyi ^{[1
]}

Sun, Baocheng ^{[1
]}

Zhang, Li ^{[1
]}

Jing, Mingming ^{[1
]}

Zeng Ming ^{[2
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China

[2] Xi An Jiao Tong Univ, Software Engn Sch, Xian, Peoples R China

来源：

2013 22ND WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC 2013) | 2013年

关键词：

E-government evaluation; Analytical Hierarchy Process; Fuzzy comprehensive evaluation; BP neural network;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the field of E-government evaluation, learning from the Balanced Scorecard, an index system is established which takes into account of various factors, including capital investment, website construction and application effect. The analytical hierarchy process and fuzzy comprehensive evaluation (AHP-FCE) model has a limitation of application scope, because it's difficult to quickly construct the consistency pairwise comparison matrix when the number of evaluation objects is large. So this paper introduces an E-government evaluation model based on BP neural network. Computational experiments performed on randomly generated instances show that the proposed model can be used to solve large number of evaluation objects and has proved to be superior with other similar models.

引用

下载

页码：459 / 463

页数：5

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