A Method for Customer Demands Groups Segmentation in Product Design Based on Fuzzy Clustering and Trigonometric Functions
Intelligent System Design and Engineering Applications（2013）
摘要
Customer involvement become more and more important in product design and the most important problem is how to turn the customer demands into design knowledge, which makes the customer demands segmentation a hot topic in academic. A method for customer demands segmentation based on fuzzy clustering and trigonometric functions was proposed. Firstly, a customer-classified framework based on fuzzy clustering was presented. Then, 7 steps for partitioning clustering customer demand based on trigonometric functions were designed. Finally, an example of customer demands groups segmentation in stroller design was given to verify the feasibility and advantages of the method.
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关键词
fuzzy clustering,product design,fuzzy set theory,pattern clustering,customer demands segmentation,clustering customer demand,clustering customer demand partitioning,trigonometric function,fuzzy theory,design knowledge,stroller design,customer demands groups,trigonometric functions,clustering analysis,customer involvement,customer demands groups segmentation,knowledge representation,customer demand,customer satisfaction,customer-classified framework,customer demand group segmentation
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