APPLYING THE SUPERIOR IDENTIFICATION GROUP LINGUISTIC VARIABLE TO CONSTRUCT KANO MODEL ORIENTED QUALITY FUNCTION DEPLOYMENT
在质量功能展开中使用二元组语言变量替代纯语言变量，并整合卡诺模型和模糊语言量化器，以识别客户需求的优先级，同时保留多粒度语言方法支持群体决策，为管理决策提供综合信息。
This study attempts to manipulate 2-tuple linguistic variables rather than pure linguistic variables in quality function deployment (QFD) in order to significantly improve the identification of the QFD model. The Kano model, a two-dimensional quality technique, is also integrated to recognize the degree of urgency in terms of enhancing and prioritizing quality-related requirements of customers via a fuzzy linguistic quantifier with a soft majority concept to fit the optimal aggregation weights. This study also retains the goodness on the usage of multi-granularity linguistic approach to facilitate the implementation of a group decision. Simultaneously, two-dimensional analysis is performed to explain the results synthetically between relationship matrix and correlation matrix from a management perspective, capable of providing comprehensive information for the decision process. Owing to the integration of several quality and management methods, results of this study demonstrate the capability of TRIZ.