Applying intuitionistic fuzzy multiple attribute decision making to user satisfaction of e-Learning websites

碩士 === 長庚大學 === 資訊管理研究所 === 95 === The e-Learning changes the ways of traditional education. As the daily progress of science and technology, e-Learning becomes the most convenient and effective way to study. As a result of the positive impetus by domestic and foreign government, the development and...

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Bibliographic Details
Main Authors: Sheng-Wei Chang, 張勝威
Other Authors: Jih-Chang Wang
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/19176569177861263814
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Summary:碩士 === 長庚大學 === 資訊管理研究所 === 95 === The e-Learning changes the ways of traditional education. As the daily progress of science and technology, e-Learning becomes the most convenient and effective way to study. As a result of the positive impetus by domestic and foreign government, the development and design of e-Learning is getting mature. It is an important subject to measure and promote the design of e-Learning website for guaranteeing study quality to users. This is evidenced by the fact that user satisfaction is often seen as a key antecedent to predict the success of a particular information system, or to anticipate a user’s behavior of reuse. Therefore, this research will make the further discussion about evaluating the design of e-Learning website by user satisfaction. Due to cognition of e-Learning studied is subjective recognizing, or concerns with the personality special characteristic. So, the measurement can be different by personality cognition in the website’s user satisfaction. In former method, there was only discussion about user’s “satisfaction” degree, but not the consideration of user’s “hesitation” degree. This will cause an inaccurate analysis result. Based on above reason, and in order to solve user’s “hesitation” degree, this research by the intuitionistic fuzzy concept, as well as the multi-attribute decision making related method and the procedure establishes a set of appraisal pattern. This pattern can be use to improve appraisal of user satisfaction of e-Learning’s websites. The results could show the pattern that may assign the user “hesitation” degree effectively. And we can use synthesis performance and superiority sorting to express overall feeling of users.