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INFERENCE OF POPULATION HIERARCHICAL CLUSTER OF CUSTOMER NEEDS

机译:客户需求的人口层次集群的推断

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摘要

In product development, engineers first collect customer needs and then group similar needs to identify a small number of representative needs. Engineers transfer these representative needs to target product requirements and develop products that fulfill these requirements. In grouping similar needs, engineers use affinity diagram, which is a popular consensus-based method, or subjective clustering, which is a statistical method. This paper applies bootstrap to subjective clustering in order to assist engineers make an inference about the population cluster of customer needs. This paper presents a procedure for bootstrap application to subjective clustering, a preliminary experiment, and an illustrative example.
机译:在产品开发中,工程师首先收集客户需求,然后将相似的需求分组,以识别少量的代表性需求。工程师将这些代表性需求转移到目标产品需求上,并开发出满足这些需求的产品。在对相似需求进行分组时,工程师使用亲和图(这是一种流行的基于共识的方法)或主观聚类(这是一种统计方法)。本文将引导应用于主观集群,以帮助工程师推断客户需求的总体集群。本文介绍了将引导程序应用于主观聚类的过程,初步实验和一个示例。

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