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Problem solving method utilizing emergent clustering and case retrieval

  • US 7,318,012 B2
  • Filed: 01/21/2005
  • Issued: 01/08/2008
  • Est. Priority Date: 01/21/2005
  • Status: Expired due to Fees
First Claim
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1. A computer implemented method of selecting historical problem/solution cases for a design of an end product having a case base, comprising the steps of:

  • a) creating an arrangement of anchor points that combine observed deviations of the end product from functional specifications based on predefined measurement parameters of the design;

    b) storing, in memory, a set of historical problem/solution cases associated with the design;

    c) modifying the arrangement of the anchor points by a binning process and extracting a dynamic problem signature describing the current problem from the modified arrangement in bins;

    d) retrieving the historical problem/solution cases and ranking the cases according to their similarity to the extracted signature, generating a rank score for each case, wherein the rank score is computed using data from the dynamic problem signature and problem signatures of historical cases;

    e) repeating steps c) and d) until the rank score of a highest ranked case is equal to or greater than a pre-specified quality, where the quality is a function of selection probabilities of the cases in the case base;

    f) selecting a problem/solution case that has a highest ranked score;

    g) evaluating the selected problem/solution case based upon its divergence from the functional specifications;

    h) repeating steps c) through g) until a specified number of problem/solution cases applicable to the design of the end product are selected; and

    i) saving the selected problem/solution cases in a file.

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