eprintid: 2233
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/22/33
datestamp: 2023-11-09 15:50:26
lastmod: 2023-11-09 15:50:26
status_changed: 2023-11-09 15:42:18
type: article
metadata_visibility: show
creators_name: Wong, D.M.L.
title: Integrated reasoning approach for car faulty diagnosis
ispublished: pub
keywords: CBr; Component; Decision supports; Diagnosis tool; Rule based reasoning (RBR); Case based; Diagnosis tools; Knowledge base; Reasoning approach; Reasoning methods; Rule based reasoning; Service center; Test case, Artificial intelligence; Decision making; Decision support systems; Decision theory; Integration; Knowledge based systems, Case based reasoning
note: cited By 0
abstract: This paper presents an integrated case based and rule based reasoning method for car faulty diagnosis. The reasoning method is done through extracting the past cases from the Proton Service Center while comparing with the preset rules to deduce a diagnosis/solution to a car service case. New cases will be stored to the knowledge base. The test cases examples illustrate the effectiveness of the proposed integrated reasoning. It has proven accuracy of similar reasoning if carried out by a service advisor from the service center.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953657450&partnerID=40&md5=ab7741252796a7313f05b773e93c7d1e
full_text_status: none
publication: World Academy of Science, Engineering and Technology
volume: 75
pagerange: 247-252
refereed: TRUE
issn: 2010376X
citation:   Wong, D.M.L.  (2011) Integrated reasoning approach for car faulty diagnosis.  World Academy of Science, Engineering and Technology, 75.  pp. 247-252.  ISSN 2010376X