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Issue title: The 1st International Workshop on Knowledge Representation and Approximate Reasoning (KR&AR)
Article type: Research Article
Authors: Vitória, Aida | Damásio, Carlos Viegas | Małuszyński, Jan
Affiliations: Department of Science and Technology, Linköping University, S 601 74 Norrköping, Sweden | Centro de Inteligência Artificial (CENTRIA), Department Informática, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal | Department of Computer and Information Science, Linköping University, S 581 83 Linköping, Sweden
Abstract: This paper presents an expressive language for representing knowledge about vague concepts. It is based on the rough set formalism and it caters for implicit definition of rough relations by combining different regions (e.g. upper approximation, lower approximation, boundary) of other rough relations. The semantics of the proposed language is obtained by translating it to the language of extended logic programs whose meaning is captured by paraconsistent stable models. A query language is also discussed to retrieve information about the defined rough relations. Motivating examples illustrating the use of the language are described.
Keywords: rough sets, logic programming, stable models, uncertain reasoning, incomplete reasoning
Journal: Fundamenta Informaticae, vol. 57, no. 2-4, pp. 215-246, 2003
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