@article{scholars2233,
           title = {Integrated reasoning approach for car faulty diagnosis},
         journal = {World Academy of Science, Engineering and Technology},
           pages = {247--252},
          volume = {75},
            note = {cited By 0},
            year = {2011},
        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.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953657450&partnerID=40&md5=ab7741252796a7313f05b773e93c7d1e},
        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},
          author = {Wong, D. M. L.},
            issn = {2010376X}
}