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Construct method of predicting satisfaction model of customer requirements based on product technical characteristics

机译:基于产品技术特征的客户需求满意度预测模型的构建方法

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摘要

To deal with product technical characteristics configuration of customer requirements is one key links of product design process. In order to improve customer satisfactions for product, relationship for mapping between customer requirements and product technical characteristics needed to be analysed and objective relatively mapping model to be constructed. A novel approach based on customer satisfactions information digging from case products and satisfaction information of expert technical characteristics was put forward in this paper. Technical characteristics evaluation values were expressed by rough number, technical characteristics target sequence was determined on the basis of efficiency, cost type and middle type in this method, then the deviation and satisfaction between technical characteristics evaluation values and target sequence were calculated, finally measuring satisfaction degree from customer to the various requirements of case products according to seven cascades. Take the satisfactions of customers and technical characteristics of 16 electric bicycles as training samples of BP network, put into use MATLAB software simulation to obtain the mapping model of customer requirements and technical characteristics, which could predict customer requirements satisfaction degree corresponding with technical characteristic configuration of product design schemes.
机译:处理客户需求的产品技术特性配置是产品设计过程的关键环节之一。为了提高客户对产品的满意度,需要分析客户需求与产品技术特征之间的映射关系,并建立客观的相对映射模型。提出了一种基于案例产品挖掘客户满意度信息和专家技术特征满意度信息的新方法。用粗糙数表示技术特征评价值,根据效率,成本类型和中间类型确定技术特征目标序列,计算出技术特征评价值与目标序列之间的偏差和满意度,最后测算满意度从客户到案例产品的各种要求,按照七个级别进行排序。以客户的满意程度和16辆电动自行车的技术特征作为BP网络的训练样本,利用MATLAB软件仿真获得客户需求和技术特征的映射模型,可以预测与技术特征配置相对应的客户需求满意度。产品设计方案。

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