Abstract
In this work, we present a Disjunctive Fuzzy Constraint Networks model for continuous domains, which generalizes the Disjunctive Fuzzy Temporal Constraint Networks model for temporal reasoning, and we propose the use of the series-parallel and tree-decomposition approaches for simplifying its processing. After a separate empirical evaluation process of both techniques, a combined evaluation process over the same problem repository has been carried out, finding that series-parallel problems practically subsume treedecomposable problems.
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Bosch, A., Guil, F., Martinez, C., Marin, R. (2002). Series-Parallel and Tree-Decomposition Approaches for Fuzzy Constraint Networks. In: Garijo, F.J., Riquelme, J.C., Toro, M. (eds) Advances in Artificial Intelligence — IBERAMIA 2002. IBERAMIA 2002. Lecture Notes in Computer Science(), vol 2527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36131-6_28
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DOI: https://doi.org/10.1007/3-540-36131-6_28
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