Expert PC Troubleshooter With Fuzzy-Logic And Self-Learning Support
  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
timeconsuming maintenance tasks. As future work, the proposed system is to be
parallelized so as to boost its performance and speed-up its various
operations.
