基于DSM和GA的消费者感性需求聚类  

Consumer's perceptual needs clustering based on DSM and GA

作　　者：杨延璞[1] 余隋怀[1] 陈登凯[1] 李博[1] 戚彬[1] 

机构地区：[1]西北工业大学工业设计研究所,西安710072

出　　处：《计算机应用研究》2014年第1期55-58,共4页Application Research of Computers

基　　金：国家"863"计划资助项目(2006AA04Z111)

摘　　要：为了实现对消费者复杂的感性需求降维,提出了一种基于设计结构矩阵(design structure matrix,DSM)和遗传算法(genetic algorithms,GA)的消费者感性需求聚类方法。通过分析消费者感性需求的特点,以DSM模型建立感性需求之间的关系矩阵,通过行列元素变换实现聚类操作。在对感性需求DSM模型染色体编码的基础上构建了适应度函数,以遗传操作的方式寻找最优感性需求聚类方案。最后以电动滑板车的消费者感性需求聚类为例,验证了所提方法的有效性。结果表明,该方法能够提高消费者感性需求聚类的效率和聚类水平。To reduce the complexity of consumers perceptual needs, this paper proposed a clustering method based on DSM and GA. By analyzing the characteristics of consumers perceptual needs, it constructed the DSM model for perceptual needs clustering by transforming the ranks of matrix elements. Based on encoding chromosome of the DSM model, it built the fitness function to find the optimal clustering scheme of consumers perceptual needs through genetic manipulation. Finally, it validated the method by an example of consumers perceptual needs clustering of electric scooter. The results show that this method can improve the efficiency and level of consumers perceptual needs clustering.

关 键 词：感性需求 设计结构矩阵 遗传算法 聚类 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]