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Rough Set Approach to Rule Induction from Imprecise Decision Tables

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Fuzzy Logic and Applications (WILF 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5571))

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Abstract

In this paper, we investigate rule induction from imprecise decision tables. In the imprecise decision tables, decision attribute values are specified imprecisely. Under a definition of rough set with respect to imprecise decision tables, several rule induction schemes are considered. In each rule induction scheme, the conventional decision matrix method is extended to the case of imprecise decision tables.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, 560-8531, Japan

    Masahiro Inuiguchi

Authors
  1. Masahiro Inuiguchi
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Editor information

Editors and Affiliations

  1. Dipartimento di Matematica e Applicazioni, Università di Palermo, via Archirafi, 34, 90123, Palermo, Italy

    Vito Di Gesù

  2. Center for Soft Computing Research, Machine Intelligence Unit, Indian Statistical Institute,, 203 Barrackpore Trunk Road, 700 108, Kolkata, India

    Sankar Kumar Pal

  3. Dipartimento di Scienze Applicate, Università di Napoli "Parthenope", Via Alcide De Gasperi, 5,, 80133, Napoli, Italy

    Alfredo Petrosino

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Inuiguchi, M. (2009). Rough Set Approach to Rule Induction from Imprecise Decision Tables. In: Di Gesù, V., Pal, S.K., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science(), vol 5571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02282-1_9

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  • DOI: https://doi.org/10.1007/978-3-642-02282-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02281-4

  • Online ISBN: 978-3-642-02282-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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