Patent 6782376 Issued on August 24, 2004. Estimated Expiration Date: January 8, 2021. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
A reasoning method for determining similar cases by executing a case-similarity calculation step and utilizing a distribution of values of fields for calculation of reasoning results of cases having high similarities. Since the similar cases are determined taking a peripheral distribution of a new case into consideration, suitable similar cases can be selected for reasoning even when the case distribution is not uniform.
Other References
Khoshgoftarr et al., “Predicting Fault-Prone Modules with Case-Based Reasoning”, Proceedings of the 8th International Symposium on Software Reliability Engineering, Nov. 1997, pp. 27-35.*
Nomoto et al., “Similarity Measures Using Fuzzy Thesauri for Case-Based Reasoning”, 1999 IEEE International Conference on Systems, man and Cybernetics, Oct. 1999, vol. 3, pp. 68-72.*
Gebhardt et al., “On a Tool for Possibilistic Reasoning in Relational Structures”, Proceedings of the 5th IEEE International Conference on Fuzzy Systems, Sep. 1996, vol. 2, pp. 1471-1475.*
Holt et al., “Case-Based Reasoning With Spatial Data”, Proceedings of the 2nd New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, Nov. 1995, pp. 385-388.*
Sudkamp, T., “Similarity as a Foundation for Possibility”, 9th IEEE International Conference on Fuzzy Systems, May 2000, vol. pp. 735-740.*
Sun et al., “Intergration of Abductive CBR and Deductive CBR”, 10th IEEE International Conference on Fuzzy Systems, Dec. 2001, vol. 3, pp. 1432-1435.*
De et al., “Case-Based Classification Using Fuzziness and Neural Networks”, IEE Colloquium on Knowledge Discovery and Data Mining (Digest No. 1998/310), May 1998, pp. 6/1-6/3.*
Hirota et al., “A Fuzzy Case Based Reasoning System for The Legal Inference”, Proceedings of the 1998 IEEE Intl Conference on Fuzzy Systems, May 1998, vol. 2, pp. 1350-1354.*
Dvir et al., “Matching Attributes in a Fuzzy Case Based Reasoning”, 18th Intl Conference of the North American Fuzzy Information Processing Society, Jun. 1999, pp. 33-36.*
Fathi-Torbaghan et al., “ICARUS: Integrated Rule-Based and Case-Based Reasoning on the Base of Unsharp Symptoms”, IEEE Intl Conference on Systems, Man and Cybernetics, Oct. 1995, vol. 3, pp. 2424-2427.*
Atiquzzaman et al., “Systolic Array Implementation for Fuzzy Evidential Reasoning Systems”, Proceedings of the Intl Conference on Expert Systems for Development, Mar. 1994, pp. 91-96.*
Nakanishi et al., “A Comparison of Direct Fuzzy Reasoning Methods”, Proceedings of the 1995 IEEE Intl Conference on Fuzzy Systems, Mar. 1995, vol. 4, pp. 1927-1933.*
Wang et al., “Mining Approximate Dependency to Answer Null Queries on Similarity-Based Fuzzy Relational Databases”, 9th International Conference on Fuzzy Systems, May 2000, vol. 2, pp. 615-620.*
Vasudevan et al., “Fuzzy Logic in Case-Based Reasoning”, Proceedings of the 1st Intl Joint Conference of the North American Fuzzy Information Processing Society Biannual Conference, Dec. 1994, pp. 301-302.*
Baldwin, “Probabilistic, Fuzzy and Evidential Reasoning in FRIL”, IEE Colloquium on Two Decades of Fuzzy Control-Part 2, Ma 1993, pp. 7/1-7/4.*
Racine et al., “Maintaining Unstructured Case Bases”, Proceedings of the 2nd Intl Conference on Case-Based Reasoning, 1997 pp. 553-564.*