Logic programs with classical negation
Logic programming
Answer sets and constructive logic, II: extended logic programs and related nonmonotonic formalisms
Proceedings of the second international workshop on Logic programming and non-monotonic reasoning
Variable precision rough set model
Journal of Computer and System Sciences
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
VPRSM Approach to WEB Searching
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
A Logic Programming Framework for Rough Sets
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Approximate reasoning in structural funds knowledge management system
AIKED'05 Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases
Rough subsumption reasoning with rOWL
Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment
A framework for reasoning with rough sets
Transactions on Rough Sets IV
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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.