Study on the Improved Grey Decision-making Model and its Application

被引：0

作者：

Wang, Yuhong ^{[1
]}

Zuo, Wenchao ^{[1
]}

Liu, Yong ^{[1
]}

机构：

[1] Jiangnan Univ, Sch Business, Wuxi 214122, Peoples R China

来源：

PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS) | 2017年

基金：

中国国家自然科学基金;

关键词：

decision making; affinity propagation; grey correlation analysis; clustering; panel data; CLUSTERING METHOD; PANEL;

D O I：

暂无

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

Existing clustering algorithms need to specify the number of clusters and to select initial points using human input, which lead to inferior clustering and optimisation outputs. Here, an improved grey decision-making model based on the thought of affinity propagation algorithm and grey correlation analysis is proposed to solve these problems. According to the panel data class and the inter-class candidate points between the message dissemination for clustering, we fully mine all information contained in a multi-indicator panel dataset. Finally, a case study is used to test the improved model's validity and rationality.

引用

页码：242 / 246

页数：5

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