Research on individual product customization technology based on double Fuzzy Clustering

Aiming at the issues that customers know less parameters about the product, can not describe their customize product feature reasonably and accurately, research on individual product customization technology based on user and item double Fuzzy Clustering under the Internet. User-Item Matrices was double fuzzy clustered through the similarity about the user and the item, searching the nearest item of the target user, to obtained the product which interest to the customer potentially and presented to customer in parameterize and 3D visualize form, the customers will customize the product according to it. Finally, take T-shirts as a prototype system for verification.