Abstract:
Case-Base Reasoning (CBR) system is an
artificial intelligent approach to learning and problem solving
based on last experiences. The knowledge of case adaption is
used to guide the retrieval process. Possible adaption strategies
for modifying candidate cases are identified and then evaluated.
Case and adaption strategy combinations that results in adapted
designs that best satisfy the preferences of the designer are used
as the final design solutions. Case-based Reasoning methods
have to deal with are to identify the current problem situation,
find a past case similar to the new one, use that case to suggest
a solution to the current problem, evaluate the proposed
solution. In this paper, we explained case-based reasoning
(CBR) is considered with established method for building car
fault diagnosis systems.
