Abstract
In this paper, we present a new framework of fuzzy constraint logic programming language including negation as failure which is a combination of fuzzy logic and fuzzy relation. We give the answer set semantics which is based on the method of stable model. Although much work have been done for answer set programming, no work addressed the answer set semantics for fuzzy constraint logic programming with negation as failure. Also, we give an example to illustrate the idea. Compared to Zadeh’s compositional rule of inference for approximate reasoning used in [9], we find an effective and efficient computational procedure for fuzzy constraint logic programming by using answer set semantics.
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Wang, J., Liu, C. (2007). Fuzzy Constraint Logic Programming with Answer Set Semantics. In: Zhang, Z., Siekmann, J. (eds) Knowledge Science, Engineering and Management. KSEM 2007. Lecture Notes in Computer Science(), vol 4798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76719-0_9
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DOI: https://doi.org/10.1007/978-3-540-76719-0_9
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