Fuzzy rule-based models for case retrieval

• Autores: Graham Finnie, Z. Sun
• Localización: International journal of engineering intelligent systems for electrical engineering and communications, ISSN 0969-1170, Vol. 10, Nº 4, 2002, págs. 215-226
• Idioma: inglés
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• Resumen

  • This paper provides a systematic treatment of fuzzy rule-based formalization of case retrieval in case-based reasoning, which classifies case retrieval into five categories from a logical viewpoint and proposes corresponding models and implementations at three levels: Ihe level of similarity relations, level of fuzzy similarity relations, and level of similarity metrics. This paper also uses Zadeh's compositional rule of inference to extend the proposed rule-based case retrieval models into fuzzy rule-based models for case retrieval. The proposed approach shows that fuzzy rule-based case retrieval and the separation between similarity relations, fuzzy similarity relations, and similarity metrics are significant for the theoretical foundation and practical application of case retrieval.