A Study Of Troubleshooting Knowledge Based System On Android Phones

碩士 === 中國文化大學 === 資訊管理學系碩士在職專班 === 103 === After Google bought the Android ios at August 8, 2005, major improvements were made including opening the source codes, and the free open source give major mobile phone manufacturers to design and customized mobile phones in recent years has be-come the wor...

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Bibliographic Details
Main Authors: Chen, Hsin-Yu, 陳信佑
Other Authors: Hwang, Yann-Jong
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/53657371815351972840
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Summary:碩士 === 中國文化大學 === 資訊管理學系碩士在職專班 === 103 === After Google bought the Android ios at August 8, 2005, major improvements were made including opening the source codes, and the free open source give major mobile phone manufacturers to design and customized mobile phones in recent years has be-come the world's largest mobile phone operating system users. However, lots of people general knowledge for Android OS is not really familiar. In the event of failure, users will be selected directly bring their phone to service station, the repair process is also prone to communication problems with the service, resulting in a waste of maintenance and labor costs; therefore The present study is to establish a set of Android mobile phone system troubleshooting knowledge base system, reducing the burden on users and maintenance personnel. This study collet the phone failure problems first, and the problem will be compiled into 13 categories, and then create hierarchical structure using AHP. And using AHP fill out the questionnaire sent to experts in the field of various classes of weights and design knowledge capture interface to guide Engineers input in the Knowledge Base, and fi-nally to help users determine the phone Problem through logical inference engine me-chanism. The results of this study found that Android mobile phone system problem is most likely to occur App bad software installation; in addition, this study also designed the fault knowledge base system prototype, and please help assess the general user, 41 valid questionnaires were returned, of which about 70% of users believe that the future development of this system is completed, can effectively solve their problems.