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Expert PC Troubleshooter with Fuzzy-Logic and Self-Learning Support

ISSN : 0975-900X
Undergraduate Theses from gdlhub / 2017-08-14 11:52:34
Oleh : Youssef Bassil, International Journal of Artificial Intelligence & Applications
Dibuat : 2012-07-04, dengan 1 file

Keyword : Expert Systems, Fuzzy-Logic Systems, PC Troubleshooting, Fault Diagnosis
Subjek : Expert PC Troubleshooter with Fuzzy-Logic and Self-Learning Support
Url : http://airccse.org/journal/ijaia/papers/3212ijaia02.pdf
Sumber pengambilan dokumen : Internet

Expert systems use human knowledge often stored as rules within the computer to solve problems that


generally would entail human intelligence. Today, with information systems turning out to be more


pervasive and with the myriad advances in information technologies, automating computer fault diagnosis


is becoming so fundamental that soon every enterprise has to endorse it. This paper proposes an expert


system called Expert PC Troubleshooter for diagnosing computer problems. The system is composed of a


user interface, a rule-base, an inference engine, and an expert interface. Additionally, the system features a


fuzzy-logic module to troubleshoot POST beep errors, and an intelligent agent that assists in the knowledge


acquisition process. The proposed system is meant to automate the maintenance, repair, and operations


(MRO) process, and free-up human technicians from manually performing routine, laborious, and time-


consuming maintenance tasks. As future work, the proposed system is to be parallelized so as to boost its


performance and speed-up its various operations.

Deskripsi Alternatif :

Expert systems use human knowledge often stored as rules within the computer to solve problems that


generally would entail human intelligence. Today, with information systems turning out to be more


pervasive and with the myriad advances in information technologies, automating computer fault diagnosis


is becoming so fundamental that soon every enterprise has to endorse it. This paper proposes an expert


system called Expert PC Troubleshooter for diagnosing computer problems. The system is composed of a


user interface, a rule-base, an inference engine, and an expert interface. Additionally, the system features a


fuzzy-logic module to troubleshoot POST beep errors, and an intelligent agent that assists in the knowledge


acquisition process. The proposed system is meant to automate the maintenance, repair, and operations


(MRO) process, and free-up human technicians from manually performing routine, laborious, and time-


consuming maintenance tasks. As future work, the proposed system is to be parallelized so as to boost its


performance and speed-up its various operations.

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