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Abstract: Case-based
reasoning method is presented after analyzing the complexities of
vehicle fault and characteristic of diagnosis system. A key issue in
case-based reasoning is how to retrieve similar cases. A kind of case
retrieval algorithm—multi-layer synthetic similarity measure is
preseuted that integrates fuzzy set concepts into the case retrieval
process, which focuses fuzzy set center distances influencing on
similarity. In the end, an example of abnormal tire wear validates that
the algorithm is brief, rational and effective.
Key words: Case
retrieval Synthetic similarity measure Case-based reasoning
Diagnosis
CLC No: TH16. 21
安徽省“十五”重大专项资助项目(01102009).
Received 20030204, received in revised form 20030810
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