基于改进蚁群聚类算法的第三方B2B平台买方企业偏好研究  

Researches on Enterprise Purchasers' Preference of Third-party B2B Platform Based on Improved Ant Colony Clustering Algorithm

作　　者：张丽媛[1] 武忠[1] 

机构地区：[1]东南大学经济管理学院,南京211189

出　　处：《世界科技研究与发展》2015年第6期735-739,771,共6页World Sci-Tech R&D

摘　　要：买方企业对第三方B2B平台利益有重要的影响。对买方企业的偏好进行分析可以了解其需求,有助于提升买方企业忠诚度。本文分析了影响第三方B2B平台买方企业决策的因素,构建了衡量企业偏好的指标体系。对传统蚁群聚类算法进行改进,并采用改进后的算法对第三方B2B平台买方企业进行聚类,获得偏好。然后在偏好分析的基础上,对买方企业实施差异化管理,实现提升平台竞争优势的目标。Enterprise purchasers have an important impact on the third-party B2B platform. Preference analysis is a good way to understand their demands, which helps to enhance loyalty. Analyzing the factors influencing the enterprise purchasers＇ decision process on the third-party B2B platform, an indicator system is constructed. Improved ant colony clustering algorithm is used to cluster the purchasers and get the preference. On the basis of the enterprise purchasers＇ preference, differentiated management is implemented to enhance the competitive advantage of the thirdparty B2B platform.

关 键 词：第三方B2B平台 偏好分析 改进蚁群聚类算法 买方企业 

分 类 号：F713.36[经济管理—产业经济] TP18[自动化与计算机技术—控制理论与控制工程]