面向个性化服装定制的协同商务系统
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摘要
随着科学技术的发展,定制服装从几百年来沿承下来拘传统的服装制作技术发展到量身定制服装,乃至利用高科技手段为顾客制作合体且符合个性化需求的服装。
纺织服装行业是我国重要的传统产业,在对外贸易中起到了非常重要的作用。但以原料、劳动力等要素成本为优势的我国纺织业在加入WTO后,将面临着比以往更加激烈的竞争,也面临着缺乏核心竞争能力的挑战。面对这种机遇与挑战并存的商业环境,只有加快利用信息技术来改造传统纺织业,迅速提高行业本身的核心竞争力,并采用新的电子商务模式,才能达到产业升级的目的。
本论文综合运用计算机技术、人工智能等技术,实现面向个性化服装的定制,并将其应用到服装协同商务系统中,这样实现出来的系统将打陂以往单一的在线购物,丰富了电子商务智能化内涵。
论文首先通过推荐算法的研究和比较,运用推荐算法中的关联规则,提出个性化服装定制的推荐模型。接着研究了基于层次分析法和模糊集理论的服装网络销售号型优选方法。研究了采用层次分析法计算人体静态着装时个体测量尺寸与服装各号型的静态匹配程度。引入人体着装生理舒适要求和形态舒适要求,研究了结合模糊集合的思想计算人体动态着装时人体相关部位变化后尺寸与服装各号型的动态匹配程度。最后给出了面向个性化服装定制的协同商务系统框架,各模块实现流程及系统实现设计方案。
论文提出的面向个性化服装定制的协同商务系统是促进服装销售的有益尝试,并对个性化服装推荐及优选号型推荐等问题提出了解决方案。
With the development of science and technology,clothing customization has changed from the traditional clothing making techniques to the tailored way,together with the assistance of high-tech methods for fitted and personalized clothes.
As one of the important traditional industries of China,the textile and garment industry has been playing a significant part in foreign trade.However,after our textile industry,which takes advantages of low cost of raw material and labor,enters into the WTO,it is confronted with fiercer competition and the challenge of weak competitiveness.Given the opportunity-challenge coexisting business environment,it is essential to transform the traditional textile industry through the use of information technology,to promote its core competitiveness,and to adopt the new e-commerce mode so as to achieve the industrial upgrading.
This paper,by applying computer technologies and artificial intelligence,aims to achieve the goal of personalized clothing customization,and to apply it in clothing Collaborative Commerce System.This potential system will be able to break the single model of on-line shopping,thus enriching the e-commerce intelligence.
This paper starts with the study and comparison of recommend algorithm,and by employing its Relevance Rules,brings about the recommended model of personalized clothing customization.It goes on to deal with the optimal size selection of online clothing sale,based on the Analytic Hierarchy Process and Fuzzy Set Theory.By employing the Analytic Hierarchy Process,this paper studies the static matching degree of individual measurements and the size of the clothes.Considering the physical and appearance comfort, it studies the dynamic matching degree when the subject actually wears the clothes,based on the idea of fuzzy sets.The paper ends with Collaborative Commerce System for Personalized Clothing Made to Measure,implementation flow of each module as well as the design proposal of system implementation.
The Collaborative Commerce System for Personalized Clothing Made to Measure brought about in this paper is a useful attempt to promote clothing sales,as well as a solution for problems such as P-MTM and optimal size selection.
纺织服装行业是我国重要的传统产业,在对外贸易中起到了非常重要的作用。但以原料、劳动力等要素成本为优势的我国纺织业在加入WTO后,将面临着比以往更加激烈的竞争,也面临着缺乏核心竞争能力的挑战。面对这种机遇与挑战并存的商业环境,只有加快利用信息技术来改造传统纺织业,迅速提高行业本身的核心竞争力,并采用新的电子商务模式,才能达到产业升级的目的。
本论文综合运用计算机技术、人工智能等技术,实现面向个性化服装的定制,并将其应用到服装协同商务系统中,这样实现出来的系统将打陂以往单一的在线购物,丰富了电子商务智能化内涵。
论文首先通过推荐算法的研究和比较,运用推荐算法中的关联规则,提出个性化服装定制的推荐模型。接着研究了基于层次分析法和模糊集理论的服装网络销售号型优选方法。研究了采用层次分析法计算人体静态着装时个体测量尺寸与服装各号型的静态匹配程度。引入人体着装生理舒适要求和形态舒适要求,研究了结合模糊集合的思想计算人体动态着装时人体相关部位变化后尺寸与服装各号型的动态匹配程度。最后给出了面向个性化服装定制的协同商务系统框架,各模块实现流程及系统实现设计方案。
论文提出的面向个性化服装定制的协同商务系统是促进服装销售的有益尝试,并对个性化服装推荐及优选号型推荐等问题提出了解决方案。
With the development of science and technology,clothing customization has changed from the traditional clothing making techniques to the tailored way,together with the assistance of high-tech methods for fitted and personalized clothes.
As one of the important traditional industries of China,the textile and garment industry has been playing a significant part in foreign trade.However,after our textile industry,which takes advantages of low cost of raw material and labor,enters into the WTO,it is confronted with fiercer competition and the challenge of weak competitiveness.Given the opportunity-challenge coexisting business environment,it is essential to transform the traditional textile industry through the use of information technology,to promote its core competitiveness,and to adopt the new e-commerce mode so as to achieve the industrial upgrading.
This paper,by applying computer technologies and artificial intelligence,aims to achieve the goal of personalized clothing customization,and to apply it in clothing Collaborative Commerce System.This potential system will be able to break the single model of on-line shopping,thus enriching the e-commerce intelligence.
This paper starts with the study and comparison of recommend algorithm,and by employing its Relevance Rules,brings about the recommended model of personalized clothing customization.It goes on to deal with the optimal size selection of online clothing sale,based on the Analytic Hierarchy Process and Fuzzy Set Theory.By employing the Analytic Hierarchy Process,this paper studies the static matching degree of individual measurements and the size of the clothes.Considering the physical and appearance comfort, it studies the dynamic matching degree when the subject actually wears the clothes,based on the idea of fuzzy sets.The paper ends with Collaborative Commerce System for Personalized Clothing Made to Measure,implementation flow of each module as well as the design proposal of system implementation.
The Collaborative Commerce System for Personalized Clothing Made to Measure brought about in this paper is a useful attempt to promote clothing sales,as well as a solution for problems such as P-MTM and optimal size selection.
引文
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