A multi-case induction adaptation study of tacit knowledge based on NRS and CBR

What is it about?

Although several effective CBR and NRS systems are known for problem-solving in various industries, there is still a lack of multi-case induction adaptation. Therefore, this study aims to deal with the case adaptation problem associated with continuous data by providing a non-zero base solution for knowledge users in solving a given situation. This study designs a multi-case induction adaptation scheme by combining NRS and CBR for implicitly knowledgeable exogenous cases.

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