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Abstract

This paper addresses the use of residuated implication operators to create a fuzzy resemblance relation between cases so as to model the CBR basic principle “the more similar two problem descriptions are, the more similar are their solutions”. We describe how this fuzzy relation can be exploited to identify case clusters, based of a finite number of level cuts from that relation, that are in turn used to solve a new problem. The paper proposes some formal results that characterize the sets of clusters obtained from the various level-cuts of the resemblance relation.

Keywords

case-based reasoning residuated implication similarity relations 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sandra Sandri
    • 1
  1. 1.Instituto Nacional de Pesquisas Espaciais - INPESão José dos CamposBrazil

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