Behavioral Scoring Model for Bank Customers Using Data Envelopment Analysis

被引：0

作者：

Chen, I-Fei ^{[1
]}

Lu, Chi-Jie ^{[2
]}

Lee, Tian-Shyug ^{[3
]}

Lee, Chung-Ta ^{[3
]}

机构：

[1] Tamkang Univ, Dept Management Sci & Decis Making, 151 Ying Chuan Rd, Tamsui 25137, Taipei County, Taiwan

[2] Ching Yun Univ, Dept Ind Engn & Management, Taoyuan, Taiwan

[3] Fu Jen Catholic Univ, Grad inst Mannagement, Hsinchu, Taiwan

来源：

OPPORTUNITIES AND CHALLENGES FOR NEXT-GENERATION APPLIED INTELLIGENCE | 2009年 / 214卷

关键词：

CREDIT; DEA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This study proposes a behavior scoring model based on data envelopment analysis (DEA) to classify the customers into the high contribution and low contribution customers. Then, the low contribution customers are examined by using the slack analysis of DEA model to promote their contributions. The experiment results showed that the proposed method can provide indeed directions for bank to improve the contribution of the low contribution customers, and facilitates marketing strategy development.

引用

页码：99 / +

页数：3

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