Genetic case-based reasoning for improved mobile phone faults diagnosis
Different types of fault diagnostic applications that utilize case-based reasoning (CBR) are applied in the diagnosis process. However, CBR cannot provide solutions to unanticipated or unknown problems. Therefore, further investigation of the retrieval and revision mechanisms of CBR is essential in...
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my.uthm.eprints.51432022-01-06T02:34:11Z http://eprints.uthm.edu.my/5143/ Genetic case-based reasoning for improved mobile phone faults diagnosis Mohammed, Mazin Abed Abd Ghani, Mohd Khanapi Arunkumar, N. Obaid, Omar Ibrahim A. Mostafa, Salama Musa Jaber, Mustafa Burhanuddin, M.A. Mohammed Matar, Bilal Abdullatif, Saif Khalid Ahmed Ibrahim, Dheyaa QA76 Computer software T Technology (General) T58.6-58.62 Management information systems Different types of fault diagnostic applications that utilize case-based reasoning (CBR) are applied in the diagnosis process. However, CBR cannot provide solutions to unanticipated or unknown problems. Therefore, further investigation of the retrieval and revision mechanisms of CBR is essential in improving the diagnosis accuracy and precision of the method. This study proposes a hybrid scheme that combines the genetic algorithm and CBR (GCBR) to improve CBR diagnosis. CBR applies experience and knowledge on existing cases of fault diagnosis to newly provided cases. The genetic algorithm aggregates and revises relevant cases to provide solutions to unknown cases. GCBR is implemented in a mobile phone fault diagnosis application. This domain is a good testing environment because mobile phones are of various types and models. Test results show that GCBR can detect several mobile phone faults with average accuracy 98.7%. Elsevier 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/5143/1/AJ%202018%20%28846%29%20Genetic%20case-based%20reasoning%20for%20improved%20mobile%20phone%20faults%20diagnosis.pdf Mohammed, Mazin Abed and Abd Ghani, Mohd Khanapi and Arunkumar, N. and Obaid, Omar Ibrahim and A. Mostafa, Salama and Musa Jaber, Mustafa and Burhanuddin, M.A. and Mohammed Matar, Bilal and Abdullatif, Saif Khalid and Ahmed Ibrahim, Dheyaa (2018) Genetic case-based reasoning for improved mobile phone faults diagnosis. COMPUTERS & ELECTRICAL ENGINEERING, 71. pp. 212-222. ISSN 0045-7906 |
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QA76 Computer software T Technology (General) T58.6-58.62 Management information systems Mohammed, Mazin Abed Abd Ghani, Mohd Khanapi Arunkumar, N. Obaid, Omar Ibrahim A. Mostafa, Salama Musa Jaber, Mustafa Burhanuddin, M.A. Mohammed Matar, Bilal Abdullatif, Saif Khalid Ahmed Ibrahim, Dheyaa Genetic case-based reasoning for improved mobile phone faults diagnosis |
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Different types of fault diagnostic applications that utilize case-based reasoning (CBR) are applied in the diagnosis process. However, CBR cannot provide solutions to unanticipated or unknown problems. Therefore, further investigation of the retrieval and revision mechanisms of CBR is essential in improving the diagnosis accuracy and precision of the method. This study proposes a hybrid scheme that combines the genetic algorithm and CBR (GCBR) to improve CBR diagnosis. CBR applies experience and knowledge on existing cases of fault diagnosis to newly provided cases. The genetic algorithm aggregates and revises relevant cases to provide solutions to unknown cases. GCBR is implemented in a mobile phone fault diagnosis application. This domain is a good testing environment because mobile phones are of various types and models. Test results show that GCBR can detect several mobile phone faults with average accuracy 98.7%. |
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Article |
author |
Mohammed, Mazin Abed Abd Ghani, Mohd Khanapi Arunkumar, N. Obaid, Omar Ibrahim A. Mostafa, Salama Musa Jaber, Mustafa Burhanuddin, M.A. Mohammed Matar, Bilal Abdullatif, Saif Khalid Ahmed Ibrahim, Dheyaa |
author_facet |
Mohammed, Mazin Abed Abd Ghani, Mohd Khanapi Arunkumar, N. Obaid, Omar Ibrahim A. Mostafa, Salama Musa Jaber, Mustafa Burhanuddin, M.A. Mohammed Matar, Bilal Abdullatif, Saif Khalid Ahmed Ibrahim, Dheyaa |
author_sort |
Mohammed, Mazin Abed |
title |
Genetic case-based reasoning for improved mobile phone faults diagnosis |
title_short |
Genetic case-based reasoning for improved mobile phone faults diagnosis |
title_full |
Genetic case-based reasoning for improved mobile phone faults diagnosis |
title_fullStr |
Genetic case-based reasoning for improved mobile phone faults diagnosis |
title_full_unstemmed |
Genetic case-based reasoning for improved mobile phone faults diagnosis |
title_sort |
genetic case-based reasoning for improved mobile phone faults diagnosis |
publisher |
Elsevier |
publishDate |
2018 |
url |
http://eprints.uthm.edu.my/5143/1/AJ%202018%20%28846%29%20Genetic%20case-based%20reasoning%20for%20improved%20mobile%20phone%20faults%20diagnosis.pdf http://eprints.uthm.edu.my/5143/ |
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1738581343094177792 |
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13.160551 |