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Multi-factor authentication and key agreement scheme based on PUF and Chebyshev chaotic map for wireless sensor networks. [PDF]

Sci Rep
Wang L, Han C.
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A neural network framework for selecting real-time video enhancement algorithms on mobile devices. [PDF]

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Khan M, Rahman MI, Ziar RA.
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Fuzzy adaptive nonlinear MIMO control for rigid coupled multibody robots using reinforcement learning model. [PDF]

Sci Rep
Duan C, Wang L, Li S.
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Reasoning within extended fuzzy description logic

Knowledge-Based Systems, 2009
An extended fuzzy description logic is proposed to increase expressive power for complex fuzzy information. We introduce cut sets of the fuzzy concepts and fuzzy roles as atomic concepts and atomic roles, and inherit concept constructors of the description logics to support a new logic system for fuzzy knowledge representation.
Jianjiang Lu, Yanhui Li, Bo Zhou, Dazhou Kang   +3 more
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JOINING GÖDEL AND ZADEH FUZZY LOGICS IN FUZZY DESCRIPTION LOGICS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012
Ontologies have succeeded as a knowledge representation formalism in many domains of application. Nevertheless, they are not suitable to represent vague or imprecise information. To overcome this limitation, several extensions to classical ontologies based on fuzzy logic have been proposed.
Bobillo F, Delgado M, GómezRomero J, Straccia U   +3 more
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Combining Fuzzy Description Logics and Fuzzy Logic Programs

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008
Integrating rules and ontologies has become a key requirement for applications in the semantic Web. Web applications in general have also motivated another requirement, that of handling uncertainty, an intrinsic feature of the real world. In this paper, we present a fuzzy extension to description logic programs (DLP), called fhDLP.
Jidi Zhao, Harold Boley
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Fuzzy Ontology, Fuzzy Description Logics and Fuzzy-OWL

2007
The conceptual formalism supported by an ontology is not sufficient for handling vague information that is commonly found in many application domains. We describe how to introduce fuzziness in an ontology. To this aim we define a framework consisting of a fuzzy ontology based on Fuzzy Description Logic and Fuzzy---Owl.
CALEGARI, SILVIA, CIUCCI, DAVIDE ELIO
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Generalized fuzzy rough description logics

Information Sciences, 2012
Description 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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