采用传统对客户进行询问和推荐得到的客户需求具有主观性、片面性,导致与客户的真正的需求有一段差距。本系统针对室内装饰设计中客户需求的特点,按照客户需求类型进行了划分;分析了室内装饰设计中客户特征的构成,基于数据挖掘中k-means算法给以往的客户的装修数据进行聚类,从而得出分类设计的标准,为室内装饰设计中客户需求分析提供工具和手段,以最终达到高效快速设计的目的。%Traditional approach to get the customer requirements, which uses asking and recommendation, is subjective and one-sided. It deviates the result from the real requirements. This system based on the customer requirements from indoor decoration design can classify the customer requirements into the right type. And it analyzes the components in indoor decoration design, then gets the classiifcation standard by using the k-means algorithm of data mining to mine previous user's data. It provides tool and approach to analyze customer requirements from indoor decoration design, and ultimately achieve the purpose of rapid and efifcient design.
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