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A qualified description of extended fuzzy logic
Information Sciences, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Farnaz Sabahi, M.-R. Akbarzadeh-T.
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Logical Characterizations of Crisp Bisimulations in Fuzzy Description Logics
IEEE Transactions on Fuzzy Systems, 20234
Linh Anh Nguyen, Ngoc Thanh Nguyen 0001
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Generalized fuzzy rough description logics
Information Sciences, 2012Description logics (DLs) are a family of logics for representing structured knowledge which have proved to be very useful as ontology languages. Classical DLs are not suitable to rep- resent vague pieces of information. The attempts to achieve a solution have led to the birth of fuzzy DLs and rough DLs.
Bobillo F, Straccia U
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Reasoning and Quantification in Fuzzy Description Logics
2006In this paper we introduce reasoning procedures for $\mathcal{ALCQ}^{+}_{F}$, a fuzzy description logic with extended qualified quantification. The language allows for the definition of fuzzy quantifiers of the absolute and relative kind by means of piecewise linear functions on ℕ and ℚ∩[0,1] respectively.
D. Sánchez, A. Tettamanzi
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How to enrich description logics with fuzziness
2017 Computing Conference, 2017The paper describes the relation between fuzzy and non-fuzzy description logics. It gives an overview about current research in these areas and describes the difference between tasks for description logics and fuzzy logics. The paper also deals with the transformation properties of description logics to fuzzy logics and backwards.
Unold, Martin, Cruz, Christophe
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Generalizing Quantification in Fuzzy Description Logics
2006In this paper we introduce \( \mathcal{A}\mathcal{L}\mathcal{C}\mathcal{Q}_F^ + \), a fuzzy description logic with extended qualified quantification. The proposed language allows for the definition of fuzzy quantifiers of the absolute and relative kind by means of piecewise linear functions on ℕ and ℚ ∩ [0, 1] respectively.
Daniel Sánchez 0001, Andrea Tettamanzi
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Extending OWL by fuzzy description logic
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005Technology about ontology plays an important role in all kinds of technologies about the semantic Web. OWL, the standard Web ontology language is proposed by W3C. Vocabularies in OWL only represent certain and complete concepts and roles. In order to represent fuzzy knowledge, this paper extends existing OWL language by encoding fuzzy constructors ...
Mingxia Gao, Chunnian Liu
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Introducing Fuzzy Temporal Description Logic
Proceedings of the 3rd International Conference on Industrial and Business Engineering, 2017Description logics are considered as the logical infrastructure of knowledge representation on the semantic Web as well as information systems. To deal with imprecise temporal knowledge and its applications, we introduce a fuzzy temporal description logic (FTDL) in which such temporal is characterized in a classic description logic.
Loan T. T. Ho +2 more
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Type-2 fuzzy description logic
Frontiers of Computer Science in China, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ruixuan Li 0001 +5 more
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From classical Description Logic to n-graded Fuzzy Description Logic
International Conference on Fuzzy Systems, 2010Description Logics (DLs) are knowledge representation languages built on the basis of classical logic. DLs allow the creation of knowledge bases and provide ways to reason on the contents of these bases. Fuzzy Description Logics (FDLs) are natural extensions of DLs for dealing with vague concepts, commonly present in real applications.
Marco Cerami +2 more
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