Research And Application On Style Decision Making Model Of Personalized Garment Pattern System

As information technology continues to evolve, the garment industry has turned into a modern and integrated inter-industry with combined with garment technique and computer technology from a traditional handicraft industry. More and more computer technology applied to the field of clothing, but mostly concentrated in intelligent design and three-dimensional human body modeling. But the study of recommending clothes based on user preferences is little. The user's preferences and clothing styles are fuzzy and difficult to quantify. In order to solve problem of clothing styles quantizing and user preferences obtaining, we come up with the Personalized Garment Pattern System.Personalized Garment Pattern System is a clothing recommendation system based on interactive and user preferences. It will communicate with client by the way of the receiving appraises to result of recommendation. With the communication, Personalized Clothing Pattern System will improve itself to make more personalized decision to each client.This topic will combine interactive genetic algorithms and preference model for intelligent clothing recommended. This paper primary studies the establishment of decision-making model of Personalized Garment Pattern System, and the decision algorithm of he decision-making module:1) System modeling: By analyzing the application requirements, base on studying of decision-making model, decision support systems, intelligent decision-making and expert system, design system models, the establishment of a database of experts, clothing database, designing the user interaction module, the user database and decision-making module.2) Decision-making algorithm design: First, the author based on Collaborative Filtering technology designed a algorithm for new users of the preliminary recommendation. Second, propose a personalized clothing recommendation algorithm is based on Interactive Genetic Algorithm. Use Human-Computer Interaction to get the personalized requirements of users of clothing, and use the genetic algorithm to create a user preference model of clothing. Then according to user preferences model for the user recommends Clothing. Finish the experiments to prove the feasibility of the algorithm.