Abstract
Based on the fuzzy description logic F-ALC(G), we design and implement a fuzzy description logic reasoner, named FRESG1.0. FRESG1.0 can support the representation and reasoning of fuzzy data information with customized fuzzy data types and customized fuzzy data type predicates. We briefly introduce the reasoning services provided by FRESG1.0. Then, we particularize the overall architecture of FRESG1.0 and its design and implementation of the major components. In the paper, we pay more attention to illustrate the features of the reasoner as well as the algorithms and technologies adopted in the implementations. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Wang, H., Ma, Z. M., & Yin, J. (2009). FRESG: A kind of fuzzy description logic reasoner. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5690 LNCS, pp. 443–450). https://doi.org/10.1007/978-3-642-03573-9_38
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