Identifying the Design Elements for 3D TVs by Combining Fuzzy Theory and Quality Function Deployment

• Main Authors: HSIAO,CHIH-LI, 蕭智勵
• Other Authors: 林伯鴻
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/04644001437948580822

碩士 === 華梵大學 === 工業工程與經營資訊學系碩士班 === 105 === With the promotion of technology, the state-of-the-art TVs have already possessed the functions of 3D. This study was identifying the design elements for 3D TVs by combining Fuzzy Theory and Quality Function Deployment (QFD). In this study, first of all, some 3D TV image quality factors and functional attributes were found through literature review. Second, fuzzy C-means algorithm was used to classify these factors into some main components and then the hierarchy architecture of fuzzy analytic network process (ANP) was constructed. In this study, we use 30 questionnaires to compare the weights between the factors and find out the weights of customer demands. Then the correlation matrix was completed after obtaining experts’ evaluations. Then we got important design elements through the product for the weight of customer demands and the correlation matrix. The results showed that the top six 3D TV image quality factors and functional attributes were brightness, color gamut, contrast, depth of field, autostereoscopic displays, and wide viewing angle, while the top five design elements were 3D comfort zone, color filter, liquid crystal, lenticular lens, and polarizer. 3D TV manufacturers could consider these design elements in production design in order to effectively enhance customer satisfaction.