摘要
现有协同创新客户选择方法主要从客户自身特点出发,未充分考虑产品创新要求的影响。鉴于此,提出了综合考虑产品创新要求和客户自身特点的协同创新客户选择方法,建立了产品创新要求和选择协同创新客户的指标之间的质量屋模型;基于模糊加权平均法和-截集确定评价指标权重,实现了指标权重随不同产品创新要求的动态调整;基于粗数方法提出了客户数量较多情况下确定客户在各指标上评价值的方法,计算客户评价值。案例分析结果表明,该方法具有合理性和可行性。
The exist methods for select collaborative customer only considered customer's characteristics and ignored the impacts of product innovation requirements.This study proposes an integrated approach for customer selection which considers both product innovation requirements and customer's characteristics.This approach analyzes the relationship between product innovation requirements and the criteria that used to select customer through constructing a house of quality model.Then,this study proposes an approach combined fuzzy weighted average and-cut,which can enables the fusion of fuzzy information expressed as linguistic variables,to determine the weight of each criterion.Futhermore,an approach based on rough number is proposed to determine the value of the customers with regard to each criterion when the number of customers is large.Finally,a case study is provided to demonstrate the application and effectiveness of the proposed method.
出处
《科技进步与对策》
CSSCI
北大核心
2017年第13期89-97,共9页
Science & Technology Progress and Policy
基金
安徽工程大学科研启动基金项目(2016YQQ008)
关键词
协同创新客户
产品创新
质量屋
粗数
模糊加权平均
Collaborative Innovation Customer
Product Innovation
House of Quality
Rough Number
Fuzzy Weighted Average
