Expert System for Deciding a Solution of Mechanical Failure in a Car using Case-based Reasoning

Abstract

The research implements a Case-based Reasoning method into an expert system to help mechanical team in an automobile service station in relation with making a specific decision to address customer complaints. A number of mechanistic criteria and potential alternatives are designed, using knowledge-based as a system backbone which is elaborated into four main general phases known as retrieving similar problems, reusing knowledge, revising solution and retaining experiences to fortify a best solution. Technically, an on line application system are constructed by Object-oriented Software Engineering (OOSE) model to serve end-users interactively. The result of this study indicates an on line expert system where the application not only can be effectively utilized by specialized team but also be able to serve as a knowledge bridge for other.