DocumentCode
3270568
Title
A Method for Customer Demands Groups Segmentation in Product Design Based on Fuzzy Clustering and Trigonometric Functions
Author
Hua Ertian ; Lu Huanhuan ; Chen Daqiang ; Fei Yulian
Author_Institution
Sch. of Comput. Sci. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
fYear
2013
fDate
16-18 Jan. 2013
Firstpage
95
Lastpage
98
Abstract
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.
Keywords
customer satisfaction; fuzzy set theory; pattern clustering; product design; clustering customer demand partitioning; customer demand group segmentation; customer involvement; customer-classified framework; design knowledge; fuzzy clustering; product design; stroller design; trigonometric function; Computer science; Educational institutions; Indexes; Intelligent systems; Manufacturing; Product design; Safety; clustering analysis; customer demands segmentation; fuzzy theory; knowledge representation; product design;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-4893-5
Type
conf
DOI
10.1109/ISDEA.2012.30
Filename
6454777
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