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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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Modeling Fuzzy Rules with Description Logics. [PDF]
, 2005 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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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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A Distributed and Fuzzy Extension of Description Logics
2006By development of the Semantic Web, demands for increasing expressive power of ontology languages has triggered a mass of extending description logics in fuzzy and distributed cases. However, current solutions are proposed respectively on one of these two aspects.
Yanhui Li +3 more
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Fuzzy description logics in the framework of mathematical fuzzy logic
2015Fuzzy Description Logics (DLs) are a logical formalism for the representation of structured knowledge affected by imprecision or vagueness. The chapter provides insights in terms of Mathematical Fuzzy Logic.
Bobillo F +5 more
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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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Triangular norm based predicate fuzzy logics
Fuzzy Sets and Systems, 2010Petr Cintula, Petr Hajek
exaly
On triangular norm-based propositional fuzzy logics
Fuzzy Sets and Systems, 1995Dan Butnariu +2 more
exaly
Reasoning within intuitionistic fuzzy rough description logics
Information Sciences, 2009Yuncheng Jiang, Suqin Tang
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Omitting Types Theorem for Fuzzy Logics
IEEE Transactions on Fuzzy Systems, 2019Petr Cintula, Denisa Diaconescu
exaly