Abstract
Fuzzy linguistic logic programming, which is a result of integrating hedge algebras and fuzzy logic programming, is proposed to facilitate the representation and reasoning on knowledge expressed in natural language, in which vague sentences are usually given a degree of truth stated in linguistic terms rather than a number, and linguistic hedges are very often used. To compute the truth value of a query, a computational model which directly manipulates linguistic terms is provided. The computational model has been proved to be sound. This paper presents a fixpoint semantics for fuzzy linguistic logic programs and based on it proves the completeness of the computational model.
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Le, V.H., Liu, F., Tran, D.K. (2008). Fixpoint Semantics and Completeness of the Computational Model for Fuzzy Linguistic Logic Programming. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_51
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DOI: https://doi.org/10.1007/978-3-540-85984-0_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85983-3
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