知识与财富的链接
针对传统质量功能展开(QFD)质量屋构建过程存在语言评价信息模糊和不确定等问题,提出一种结合犹豫二元语义变量、层次分析法和逼近理想解排序多属性决策法的改进QFD模型,用以对产品质量特性的重要度级别进行确定.模型分为评价用户需求与质量特性的关系、确定用户需求的重要度权重、确定质量特性的重要度排序3个阶段,提高了质量特性重要度排序的准确性.最后以某企业一语言类数字学习系统的质量特性重要度确定为例,进行了模型应用和有效性验证,为以用户为中心的数字学习系统设计质量提升提供参考.
Aiming at the fuzzy and uncertain information of language evaluation in traditional quality function deployment （QFD） on the construction process of quality house, an improved QFD model combining hesitant fuzzy 2-tuple linguistic variables, multiple criteria decision making methods such as AHP and TOPSIS is proposed, to determine the importance ranking of quality characteristics. The proposed model consists of three stages. Firstly, the relationship between user needs and quality characteristics is evaluated. Secondly, the relative importance weight of user needs (Cs) is determined. Lastly, the importance ranking of quality characteristics (Qs) is determined. Through the above steps, the accuracy of importance ranking of quality characteristics is improved. Finally, an example of importance ranking of quality characteristics of the digital language learning system from one enterprise was given to demonstrate the effectiveness of the proposed approach. This research may provide a reference for improving the design quality of E-learning system that user-centered.