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Fuzzy modelling of case-based reasoning and decision

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Case-Based Reasoning Research and Development (ICCBR 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1266))

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Abstract

This paper is an attempt at providing a fuzzy set-based formalization of case-based reasoning. The proposed approach, which does not take into account the learning aspects of case-based reasoning, assumes a principle stating that “the more similar are the problem description attributes, the more similar are the outcome attributes”. A weaker form of this principle is also considered. These two forms of the case-based reasoning principle are modelled in terms of fuzzy rules. Then an approximate reasoning machinery taking advantage of this principle enables us to apply the information stored in the memory of precedent cases to the current problem. A particular instance of case-based reasoning, named case-based decision, is especially investigated. A logical model of case-based inference is also described.

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Author information

Authors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse (IRIT), Université Paul Sabatier, Bât. 1R3, 118 Route de Narbonne, 31062, Toulouse Cedex 4, France

    Didier Dubois & Henri Prade

  2. Institut d'Investigació en Intel ligéncia Artificial (IIIA), Consejo Superior de Investigaciones Científicas(CSIC), Campus Universitat Autonoma de Barcelona, 08193, Bellaterra, Spain

    Francesc Esteva, Pere Garcia, Lluis Godo & Ramon L. de Mántaras

Authors
  1. Didier Dubois
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  2. Francesc Esteva
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  3. Pere Garcia
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  4. Lluis Godo
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  5. Ramon L. de Mántaras
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  6. Henri Prade
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Editor information

David B. Leake Enric Plaza

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© 1997 Springer-Verlag Berlin Heidelberg

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Dubois, D., Esteva, F., Garcia, P., Godo, L., de Mántaras, R.L., Prade, H. (1997). Fuzzy modelling of case-based reasoning and decision. In: Leake, D.B., Plaza, E. (eds) Case-Based Reasoning Research and Development. ICCBR 1997. Lecture Notes in Computer Science, vol 1266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63233-6_528

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  • DOI: https://doi.org/10.1007/3-540-63233-6_528

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63233-7

  • Online ISBN: 978-3-540-69238-6

  • eBook Packages: Springer Book Archive

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