Abstract
This chapter is the first exception to the Boolean structure of the book, although it is included in Part I of the book, as shown in the shaded area of Fig. 5.1. It is also the basis for Chapter 6 and 7, although this is not shown in Fig. 5.1. This chapter will attempt to provide a general theory of CBR, and move CBR towards a firm theoretical foundation based on similarity-based reasoning. To this end, this chapter will first extend the concept of similarity and examine similarity relations, fuzzy similarity relations, and similarity metrics. Then it provides a theoretical formalization for building case bases with three novel algorithms. It also proposes the R 5 model for CBR. Furthermore, it examines abductive CBR and deductive CBR and proposes a knowledge-based model for integrating abductive CBR and deductive CBR. Finally, it proposes rule-based models and fuzzy rule-based models for case retrieval.
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© 2004 Springer-Verlag Berlin Heidelberg
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Sun, Z., Finnie, G.R. (2004). A General Theory of Case Based Reasoning. In: Intelligent Techniques in E-Commerce. Studies in Fuzziness and Soft Computing, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40003-5_5
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DOI: https://doi.org/10.1007/978-3-540-40003-5_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05811-0
Online ISBN: 978-3-540-40003-5
eBook Packages: Springer Book Archive