Fuzzy soft set-based approach to prioritizing technical attributes in quality function deployment
Fuzzy soft set-based approach to prioritizing technical attributes in quality function deployment
复制标题
基于模糊软集的方法在质量功能部署中优先考虑技术属性
DOI：
10.1007/s00521-012-1201-1
复制
发表时间：
2013-12-01
影响因子：
6
通讯作者：
Chen, Yizhen
中科院分区：
文献类型：
--
作者：
Yang, Zhihui;Chen, Yizhen
质量功能展开是一种计划和解决问题的工具，用于将客户要求转化为产品的技术属性。技术属性的排序是质量功能展开应用的关键步骤。基于Maji等人提出的模糊软理论，提出了一种新的技术属性排序方法。利用顾客需求得分与平均得分的相对偏差构造隶属函数，从而构造模糊软集。客户需求的权重和最终的技术属性的重要性，得到从原始数据，没有其他信息的模糊软集。最后通过一个实例说明了该方法的应用。
Quality function deployment is a planning and problem-solving tool for translating customer requirements into the technical attributes of a product. To obtain the rating order of technical attributes is a crucial step in applying quality function deployment. Based on the fuzzy soft theory proposed by Maji et al., which is a new mathematical tool to deal with uncertainties, a novel approach is proposed in this paper in order to prioritize technical attributes. We utilize the relative deviation between scores of customer requirements and their average to construct membership function in order to construct fuzzy soft sets. The weights of customer requirements and the final importance of technical attributes are obtained from fuzzy soft sets derived from raw data without other information. An illustrated example is cited to demonstrate the application of the proposed approach.