Research On Key Implementing Technologies Of Quick Response Information System For Textile And Costume

Quick response system is an enterprise's unite operation model rised in recently ten years, which links up the industry chains, commonly shares information resources and rapidly responds market demand. A textile enterprise is facing a market of individuation and diversification; the course of internationalization and integration quickens; also with the consummation of the network,the information communications speed up. A textile&costume enterprise ought to cope with this challenge. However, the key word of quick response for textile is just "quick" .It desiderates resolving how to achive quick response, make produce in time basing on consumers' need, and quickly occupy the market to win in competitions.On the other hand, another key word is "response" ,whose object is "information".In a word, the origin of change rests with the variety of information.We should set up a quick response information system in order to grasp the market's opportunities.In this article, we have analyzed how to build up the quick-resonse strategy by means of information technologies and the key implementing technologies in the process of forming the quick-response- information-system, and then construct the sketch of information quick-response-systems for textile and costume.The main content and innovation of this article composes of three parts:1. Put forward an information intergration solvement based on textile& costume enterprises,which provides an approach for automatic information extraction and classification based on textile subjects.Put forward an improved extraction rules,which combine the information extraction methods based on "document structure" with that based on "characteristic pattern matching ".Also,in this article,we provide an improved method for rapid -text-categorization of KNN,which can provide a quick search among the mass data set.2.In the research of technologies for individuation services,the principle of individuation services based on data-mining is analyzed.Then an individuation data-mining arithmetic, which combines ID3 classification arithmetic and K-means clustering arithmetic,is analyzed.At last, the realization of the arithmetic is provided.3. A diagnosis structure of costume brand is established by discussing the modeling process in detail. The diagnosis model is given as followed: DC = f (DP) = f(O,CI,DI,T, E).On the basis of that, a hierarchical clustering reasoning method ,combining RBR and CBR, is introduced sequently. Meanwhile,the reasoning mechanism is designed according to the procedures of brand diagnosis and its corn arithmetic.