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Soft Computing in Case Based Reasoning pp 29–45Cite as

On the Notion of Similarity in Case Based Reasoning and Fuzzy Theory

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Abstract

Notions of similarity and neighborhood play an important role in informatics. Different disciplines have developed their own treatment of related measures. We consider this problem under the viewpoint of case based reasoning and fuzzy theory. While distance and similarity can be considered to be formally equivalent, there exist some differences concerning their intuitive use which have impact on the composition of global measures from local ones.

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References

  1. Burkhard, H. D. (1998) Extending some Concepts of CBR — Foundations of Case Retrieval Nets. in Case-Based Reasoning Technology: From Foundations to Applications. (ed. M. Lenz, B. Bartsch-Spörl, H. D. Burkhard, S. Wess), LNAI 1400, Springer-Verlag, 17–50.

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  4. Richter, M. M. (1995) On the Notion of Similarity in Case-Based Reasoning. in Mathematical and Statistical Methods in Artificial Intelligence (ed. G. della Riccia, R. Kruse, R. Viertel), Springer-Verlag, 171–184.

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Authors
  1. Hans-Dieter Burkhard
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  2. Michael M. Richter
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Editor information

Editors and Affiliations

  1. Machine Intelligence Unit, Indian Statistical Institute, 203 Barrackpore Trunk Road, Calcutta, 700 035, India

    Sankar K. Pal MTech, PhD, DIC, Fellow IEEE (Distinguished Scientist and Head) (Distinguished Scientist and Head)

  2. Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Melbourne, Victoria, 3083, Australia

    Tharam S. Dillon BE, PhD, FSaRS, FIE, SMIEEE

  3. Department of Computing, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong

    Daniel S. Yeung BA, MA, MSc, MBA, PhD, FHKIE

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© 2001 Springer-Verlag London Limited

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Burkhard, HD., Richter, M.M. (2001). On the Notion of Similarity in Case Based Reasoning and Fuzzy Theory. In: Pal, S.K., Dillon, T.S., Yeung, D.S. (eds) Soft Computing in Case Based Reasoning. Springer, London. https://doi.org/10.1007/978-1-4471-0687-6_2

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  • DOI: https://doi.org/10.1007/978-1-4471-0687-6_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-262-4

  • Online ISBN: 978-1-4471-0687-6

  • eBook Packages: Springer Book Archive

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