Abstract
Applying case-based reasoning (CBR) to analyze the effect of collaborative cost management (CCM) in supply chain is a new research topic. This paper illustrates a new method which combining four steps of CCM and procedures of CBR with fuzzy inference model. The method improves the traditional similarity assessment and obtains the most suitable case to solve new problems. Moreover, this study gives a new definition of information set on the CCM problem and emphasizes self-learning in CBR for CCM in order to make the selected case solution more suitable and obtain the more collaborative effect value of CCM.
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