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.
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Sandri, S. (2012). A Fuzzy Residuated Approach to Case-Based Reasoning. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances on Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31709-5_6
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DOI: https://doi.org/10.1007/978-3-642-31709-5_6
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