Abstract: To solve the problem of insufficient demand acquisition caused by user cognitive differences and limitations,a demand acquisition model by Triz system resource analysis was proposed for similar cognitive user clusters.User demands trend of product were differentiated by fuzzy Kano method and clustered users with K-modes algorithm to get user clusters with similar cognitive types.The existing super-system resources such as user attributes and usage environment attributes in the cluster was analyzed and expanded to get potential super system resources.Potential product requirements and product design goals was established based on new resource characteristics.The effectiveness of the method was illustrated by a self-propelled round baler.

Key words: product innovation, user cluster, user cognition, potential demand, super systems resources

摘要： 为解决用户认知差异性及局限性所导致的需求获取不充分的问题,提出一种面向相似认知用户集群的TRIZ系统资源需求获取模型。该模型通过模糊卡诺方法对产品用户需求进行分类优化,使用K-modes算法对用户进行聚类分析,获取具有相似认知类型的用户集群;分析集群中已存在的用户属性、使用环境属性等超系统资源并进行拓展演化,获取潜在超系统资源;根据新资源特性得到产品潜在需求与产品设计目标。以自走式圆捆机为例证明了该方法的有效性。

关键词: 产品创新, 用户集群, 用户认知, 潜在需求, 超系统资源