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On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases

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Artificial Intelligence and Soft Computing – ICAISC 2006 (ICAISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4029))

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Abstract

In this paper, we propose two new ways to interpret uncertain information reflected by non-atomic descriptors. We focus our research on data stored in a proximity-based fuzzy relational database as the database provides convenient mechanisms for recording and interpretation of uncertain information. In proximity-based fuzzy databases the lack of certainty about obtained information can be reflected via insertion of non-atomic attribute values. In addition, the database extends classical equivalence relations with fuzzy proximity relations, which provide users with interesting analytical capabilities. In this paper we concentrate on both of these properties when proposing new approaches to interpretation of non-atomic values for decision making purposes.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Montana State University, Bozeman, MT, 59717-3880, USA

    Rafal A. Angryk

Authors
  1. Rafal A. Angryk
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Berkeley Initiative in Soft Computing (BISC), University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Żurada

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© 2006 Springer-Verlag Berlin Heidelberg

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Angryk, R.A. (2006). On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_19

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  • DOI: https://doi.org/10.1007/11785231_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35748-3

  • Online ISBN: 978-3-540-35750-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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