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Dempster-Shafer logical model for fuzzy Description Logics

2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016
Description 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
openaire   +1 more source

Extended Fuzzy Description Logic ALCN

2005
Web applications based on description logics often need management of fuzzy information and encounter fuzzy concepts. This paper proposes an extended fuzzy ALCN to enable representation and reasoning for complex fuzzy information. The extended fuzzy ALCN introduces the cut sets of fuzzy concepts and fuzzy roles as atomic concepts and atomic roles, and ...
Yanhui Li   +4 more
openaire   +1 more source

Verification of fuzzy UML models with fuzzy Description Logic

Applied Soft Computing, 2018
Abstract 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
openaire   +1 more source

Modeling Fuzzy Rules with Description Logics. [PDF]

open access: possible, 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
openaire   +1 more source

A fuzzy description logic with fuzzy data type group

2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), 2008
The 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
openaire   +1 more source

Extending fuzzy soft sets with fuzzy description logics

Knowledge-Based Systems, 2011
Molodtsov initiated the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. However, it has been pointed out that classical soft sets are not appropriate to deal with imprecise and fuzzy parameters.
Yuncheng Jiang   +4 more
openaire   +1 more source

A Distributed and Fuzzy Extension of Description Logics

2006
By 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
openaire   +1 more source

Fuzzy description logics in the framework of mathematical fuzzy logic

2015
Fuzzy 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
openaire   +2 more sources

A comprehensive review on type 2 fuzzy logic applications: Past, present and future

Engineering Applications of Artificial Intelligence, 2020
Kunwar Singh Vaisla   +2 more
exaly  

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