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Dempster-Shafer logical model for fuzzy Description Logics
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016Description Logics, defined as a family of knowledge representation languages, have gained a lot of popularity, due to their connection with the Semantic Web, and more precisely, with the Web Ontology Language - OWL (OWL-DL). Vague information cannot be considered negligible when dealing with Semantic Web tasks. In this context, the definition of fuzzy
Loukia Karanikola, Isambo Karali
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Verification of fuzzy UML models with fuzzy Description Logic
Applied Soft Computing, 2018Abstract The fuzzy UML model has been introduced to enable the conceptual modeling of imprecise data in many applications. How to prevent, detect, and correct errors as early as possible in the modeling process by verifying the correctness of fuzzy UML models is desirable. But it is difficult to manually verify the correctness of the models.
Fu Zhang 0001, Jingwei Cheng
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A fuzzy description logic with fuzzy data type group
2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), 2008The Semantic Web is expected to process concept knowledge and data information in an intelligent and automatic way. Recent research has shown that OWL has a serious limitation on data types; i.e., it does not support customized data types and customized data type predicates.
Hailong Wang +3 more
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Modeling Fuzzy Rules with Description Logics. [PDF]
In real application scenarios, input data and knowledge is often vague. Likewise, it is often the case that exact reasoning over data is impossible due to complex dependencies between input data and target outputs. For practical applications, however, good approximations often suffice, and efficient calculation of an approximate answer is often ...
Agarwal, Sudhir, Hitzler, Pascal
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Fuzzy quantification in fuzzy description logics
2006This chapter introduces reasoning procedures for {\qfdl}, a fuzzy description logic with extended qualified quantification \cite (SanchezTettamanzi2004}. The language allows for the definition of fuzzy quantifiers of the absolute and relative kind by means of piecewise linear functions on $\mathbb{N}$ and $\mathbb{Q}\cap[0,1]$ respectively. In order to
Daniel Sánchez +1 more
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On triangular norm-based propositional fuzzy logics
Fuzzy Sets and Systems, 1995Erich Peter Klement, Dan Butnariu
exaly
Fuzzy description logics with general t-norms and datatypes
Fuzzy Sets and Systems, 2009Fernando Bobillo, Umberto Straccia
exaly

