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Compiling Fuzzy Answer Set Programs to Fuzzy Propositional Theories

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Logic Programming (ICLP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5366))

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Abstract

We show how a fuzzy answer set program can be compiled to an equivalent fuzzy propositional theory whose models correspond to the answer sets of the program. This creates a basis for constructing fuzzy answer set solvers, such as solvers based on fuzzy SAT-solvers or on linear programming.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Vrije Universiteit Brussel, Belgium

    Jeroen Janssen & Dirk Vermeir

  2. Dept. of Applied Mathematics and Computer Science, Universiteit Gent, Belgium

    Stijn Heymans & Martine De Cock

Authors
  1. Jeroen Janssen
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  2. Stijn Heymans
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  3. Dirk Vermeir
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  4. Martine De Cock
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Editor information

Editors and Affiliations

  1. Clayton School of Information Technology, Monash University, Australia

    Maria Garcia de la Banda

  2. Department of Computer Science, New Mexico State University, NM 88003, Las Cruces, USA

    Enrico Pontelli

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© 2008 Springer-Verlag Berlin Heidelberg

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Janssen, J., Heymans, S., Vermeir, D., De Cock, M. (2008). Compiling Fuzzy Answer Set Programs to Fuzzy Propositional Theories. In: Garcia de la Banda, M., Pontelli, E. (eds) Logic Programming. ICLP 2008. Lecture Notes in Computer Science, vol 5366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89982-2_34

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  • DOI: https://doi.org/10.1007/978-3-540-89982-2_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89981-5

  • Online ISBN: 978-3-540-89982-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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