基于模糊聚类算法的大规模定制客户需求分类
Based on the fuzzy clustering algorithm for mass customization needs of customers Classification
大规模定制作为一种既能满足客户的个性化需求又不牺牲企业效益和成本的新的生产方式, 成为21 世纪制造业的主流生产方式。因此对客户的个性化需求进行分析在大规模定制客户需求管理过程中具有重要的价值。本文从大规模定制客户需求的特点出发, 介绍了目前常用的三种需求分类方法,然后介绍了模糊聚类算法以及步骤,并运用聚类算法对客户需求进行分类。其中运用聚类建立模糊矩阵实现分类的方法有很多,本文采用的是绝对值减数法。 论文的最后以某品牌手机十组客户的需求为例,运用模糊聚类算法进行分类加以说明。
Mass Customization,as a new modeof production that can meet the needs of individual customers without the expense and cost-effective enterprise,has become the mainstream of 21st century manufacturing production. Therefore, customer demand for personalized analysis has an important value in the process of customers needs management of mass customization. This article from the needs of customers for mass customization features,introduced three current types of commonly used classification, and then introduced the fuzzy clustering algorithm, as well as the steps and the use of clustering algorithm to classify the needs of customers. The use of fuzzy clustering to establish the matrix there are many methods,then in this paper it is the Absolute value decreases Law. The final papers use fuzzy clustering algorithm to classify the data of customer demand of a group of ten mobile phone and illustrated.
吴清烈、刘献
计算技术、计算机技术自动化技术经济自动化基础理论
大规模定制客户需求分类模糊聚类算法
mass customizationclassification of customer demandfuzzy clustering algorithm
吴清烈,刘献.基于模糊聚类算法的大规模定制客户需求分类[EB/OL].(2008-10-24)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/200810-614.点此复制
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