A Hierarchical Fuzzy Classification of Online Customers

Nicolas Werro, H. Stormer, Andreas Meier
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引用次数: 18

Abstract

A key challenge for companies in the e-business era is to manage customer relationships as an asset. In today's global economy this task is getting, at the same time, more difficult and more important. In order to retain the potentially good customers and to improve their buying attitude this paper proposes a hierarchical fuzzy classification of online customers. A fuzzy classification, which is a combination of relational databases and fuzzy logic, allows customers to be classified in several classes at the same time and can therefore precisely determine the customers' value for an enterprise. This approach allows companies to improve the customer equity, to launch loyalty programs, to automate mass customization and to refine marketing campaigns in order to maximize the customers' value and, this way, the companies' profit
在线客户的层次模糊分类
在电子商务时代,公司面临的一个关键挑战是将客户关系作为一种资产来管理。与此同时,在今天的全球经济中,这项任务变得更加困难和重要。为了留住潜在的好顾客,提高他们的购买态度,本文提出了一种在线顾客的层次模糊分类方法。模糊分类是关系数据库和模糊逻辑的结合,它允许将客户同时划分为几个类别,从而可以精确地确定客户对企业的价值。这种方法使公司能够改善客户权益,推出忠诚度计划,自动化大规模定制和完善营销活动,以最大限度地提高客户价值,从而实现公司利润的最大化
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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