Heterogeneous Approximate Reasoning with Graded Truth Values
| Autor: | Giovanna Di Marzo Serugendo, Francesco Luca De Angelis, Andrzej Szałas, Barbara Dunin-Keplicz |
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| Rok vydání: | 2017 |
| Předmět: |
Theoretical computer science
Unification Computer science Parameterized complexity 0102 computer and information sciences 02 engineering and technology 01 natural sciences Action (philosophy) 010201 computation theory & mathematics Falsity Truth value 0202 electrical engineering electronic engineering information engineering Approximate reasoning Natural (music) 020201 artificial intelligence & image processing Variable number Algorithm |
| Zdroj: | Rough Sets ISBN: 9783319608365 IJCRS (1) |
| DOI: | 10.1007/978-3-319-60837-2_6 |
| Popis: | This paper is devoted to paraconsistent approximate reasoning with graded truth-values. In the previous research we introduced a family of many-valued logics parameterized by a variable number of truth/falsity grades together with a corresponding family of rule languages with tractable query evaluation. Such grades are shown here to be a natural qualitative counterpart of quantitative measures used in various forms of approximate reasoning. The developed methodology allows one to obtain a framework unifying heterogeneous reasoning techniques, providing also the logical machinery to resolve partial and incoherent information that may arise after unification. Finally, we show the introduced framework in action, emphasizing its expressiveness in handling heterogeneous approximate reasoning in realistic scenarios. |
| Databáze: | OpenAIRE |
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