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A Possibilistic-Logic-Based Information Retrieval Model with Various Term-Weighting Approaches

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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

A new possibilistic-logic-based information retrieval model is presented. Its main feature is an explicit representation of both vagueness and uncertainty pervading the textual information representation and processing. The weights of index terms in documents and queries are directly interpreted as quantifying this vagueness and uncertainty. The classical approaches to the term-weighting are tested on a standard data set in order to validate their appropriateness for expressing vagueness and uncertainty.

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Author information

Authors and Affiliations

  1. Systems Research Institute PAS, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk & Sławomir Zadrożny

  2. Doctoral Studies (SRI PAS), ul. Newelska 6, 01-447, Warsaw, Poland

    Katarzyna Nowacka

Authors
  1. Janusz Kacprzyk
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  2. Katarzyna Nowacka
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  3. Sławomir Zadrożny
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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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Kacprzyk, J., Nowacka, K., Zadrożny, S. (2006). A Possibilistic-Logic-Based Information Retrieval Model with Various Term-Weighting Approaches. 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_117

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  • DOI: https://doi.org/10.1007/11785231_117

  • 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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