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Case-based reasoning system using case generalization method

  • US 9,299,025 B1
  • Filed: 01/04/2013
  • Issued: 03/29/2016
  • Est. Priority Date: 04/06/2010
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising the steps of:

  • setting an error ratio threshold;

    comparing a user-specified context comprising one or more natural language contextual antecedents to a plurality of cases stored in a case base, each case stored in the case base comprising one or more case antecedents and one or more case consequents;

    determining if a matching case exists in the case base, wherein the matching case is the case having case antecedents that exactly match the contextual antecedents;

    selecting the matching case if it exists, else selecting a best matching case, wherein the step of selecting a best matching case includes generalizing the case antecedents of the cases stored in the case base and comparing the user-specified context to the cases stored in the case base having generalized antecedents to determine the best-matching case, wherein the generalization of the case antecedents involves minimizing |Si

    context|/|Si|, where Si is a situational variable representing a case antecedent and the context is the contextual antecedents, wherein the best matching case is the case having the highest ratio of matching case antecedents to contextual antecedents and having a matching error ratio that does not exceed the error ratio threshold; and

    displaying the case consequents of the selected case to a user.

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