Applying Fuzzy Theory in Selecting The Important Image Quality Factors of 3D Televisions

• Main Authors: Jin,Yu-Min, 金御民
• Other Authors: Lin,Po-Hung
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/69766358707334510297

碩士 === 華梵大學 === 工業工程與經營資訊學系碩士班 === 104 === With the promotion of technology, the state-of-the-art TVs have already possessed the functions of 3D. This study applied fuzzy theory to construct a framework of 3D TV image quality factors and get the weights for each of them. First of all, some 3D TV image quality factors 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. Thirty participants were recruited to conduct the questionnaire survey and ergonomic experiment. From the calculation of fuzzy ANP, the weights for 3D TV image quality factors were obtained. Finally, the priority of 3D TVs with different brands was also obtained through the evaluation of alternatives in fuzzy ANP and it can be the reference for users’ 3D TV selection in the future. The results indicated that depth (W=28.58%), crosstalk (25.95%) and resolution (17.47) were the top three important factors affecting 3D TV image quality. Therefore, 3D TV manufacturers could consider these important factors into future 3D TV product design in order to promote customers’ purchase intention.