Abstract | ||
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Fuzzy Description Logics are logics which allow to deal with structured knowledge affected by vagueness. Although a relatively important amount of work has been carried out in the last years, fuzzy DLs are open to be extended with several features worked out in the fuzzy logic literature. In this work, we extend fuzzy DLs towards supporting fuzzy spatial reasoning and, thus, offer a framework for modeling spatial relations such as "region a is part of region b, which is connected to region c, a is close to c and b is right over c". |
Year | DOI | Venue |
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2009 | 10.1109/FUZZY.2009.5277056 | FUZZ-IEEE |
Keywords | Field | DocType |
towards spatial reasoning,last year,fuzzy description logics,fuzzy logic literature,fuzzy description logic,important amount,structured knowledge,fuzzy spatial reasoning,spatial relation,fuzzy dls,spatial reasoning,fuzzy logic,data mining,boolean functions,cognition,calculus,concrete,data structures,knowledge based systems | Spatial relation,T-norm fuzzy logics,Vagueness,Spatial intelligence,Fuzzy classification,Computer science,Fuzzy logic,Description logic,Artificial intelligence,Monoidal t-norm logic,Machine learning | Conference |
Citations | PageRank | References |
6 | 0.47 | 16 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
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Umberto Straccia | 1 | 2731 | 251.15 |