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Combining Crisp and Fuzzy Logic in a Prolog Compiler.

, , and . APPIA-GULP-PRODE, page 23-38. Facultad de Informática, Universidad Politécnica de Madrid, (2002)

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Fuzzy Prolog: Default Values to Represent Missing Information., and . Computational Intelligence Based on Lattice Theory, volume 67 of Studies in Computational Intelligence, Springer, (2007)Fuzzy Prolog: a new approach using soft constraints propagation., , and . Fuzzy Sets and Systems, 144 (1): 127-150 (2004)Additional Comments on Conjectures, Hypotheses, and Consequences in Orthocomplemented Lattices., , and . AISC, volume 1930 of Lecture Notes in Computer Science, page 107-114. Springer, (2000)Default Values to Handle Incomplete Fuzzy Information., and . FUZZ-IEEE, page 14-21. IEEE, (2006)Survey of measures for the structural dimension of ontologies., , , and . ICCI*CC, page 83-92. IEEE Computer Society, (2013)Increasing the Rigorousness of Measures Definition through a UML/OCL Model Based on the Briand et al.'s Framework., , , , and . ICCSA (3), volume 7973 of Lecture Notes in Computer Science, page 43-58. Springer, (2013)Incomplete Fuzzy Information in Prolog., and . EUSFLAT Conf., page 787-792. Universidad Polytecnica de Catalunya, (2005)Extending Prolog with Incomplete Fuzzy Information, and . CoRR, (2005)Combining Crisp and Fuzzy Logic in a Prolog Compiler., , and . APPIA-GULP-PRODE, page 23-38. Facultad de Informática, Universidad Politécnica de Madrid, (2002)Constructive combination of crisp and fuzzy logic in a Prolog compiler., , and . WLPE, volume CW371 of Report, page 75-89. Katholieke Universiteit Leuven, Department of Computer Science, Celestijnenlaan 200A, B-3001 Heverlee (Belgium), (2003)