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A Retrieval Model for Fuzzy Customer Requirements in E- business

机译:电子商务中模糊客户需求的检索模型

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摘要

In E-business, the study for retrieval model for fuzzy customer requirements is very valuable. By modeling the fuzzy customer requirements, the retrieve model is more appropriate to E-business engineering. In referencer to the special customer groups, the customer requirements can be translated into the certification and judgment for the attribute parameters of product feature. According to previous experience or the condition of using the product, customers can directly put forward quantitative or qualitative request to the attribute parameters of existing product feature of product series. In allusion to insufficiency of product retrieval based on similarity , the Neural Network is introduced into design of case retrieval and a model based Neural Network is proposed. By studying modeling NN and fuzzy requirements information, the mapping network from the parameters of product feature to the candidate of product has been set up. Rapid response to fuzzy individuation requirements of customer has been realized. This method, as the key technique of E-business, is applied to gearbox design of enterprise, which can greatly shortened design cycle of no-standard product in product series.
机译:在电子商务中,研究模糊客户需求的检索模型非常有价值。通过对模糊的客户需求建模,检索模型更适合于电子商务工程。参照特殊客户群,可以将客户需求转化为对产品功能属性参数的认证和判断。根据以前的经验或使用产品的条件,客户可以直接对产品系列现有产品特征的属性参数提出定量或定性的要求。针对基于相似度的产品检索不足,将神经网络引入案例检索设计中,提出了一种基于模型的神经网络。通过研究建模神经网络和模糊需求信息,建立了从产品特征参数到候选产品的映射网络。实现了对客户模糊个性化需求的快速响应。该方法作为电子商务的关键技术,应用于企业的齿轮箱设计中,可以大大缩短产品系列中非标产品的设计周期。

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