Results 31 to 40 of about 9,914 (309)
Undecidability of Fuzzy Description Logics
, 2011 Fuzzy description logics (DLs) have been investigated for over two decades, due to their capacity to formalize and reason with imprecise concepts. Very recently, it has been shown that for several fuzzy DLs, reasoning becomes undecidable. Although the proofs of these results differ in the details of each specific logic considered, they are all based on
Borgwardt, S, Penaloza, R
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Fuzzy Description Logic Programs [PDF]
, 2008 Description Logic Programs (DLPs), which combine the expressive power of classical description logics and logic programs, are emerging as an important ontology description language paradigm. In this work, we present fuzzy DLPs, which extend DLPs by allowing the representation of vague/imprecise information.
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Fuzzy extensions of OWL: Logical properties and reduction to fuzzy description logics
International Journal of Approximate Reasoning, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Giorgos Stoilos +2 more
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Modelling Imprecise Arguments in Description Logic
Advances in Electrical and Computer Engineering, 2009 Real arguments are a mixture of fuzzy linguistic variables and ontological knowledge. This paper focuses on modelling imprecise arguments in order to obtain a better interleaving of human and software agents argumentation, which might be proved useful ...
LETIA, I. A., GROZA, A.
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Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation
Advanced Materials, EarlyView.A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels +4 more
wiley +1 more source
Decidability and Complexity of Fuzzy Description Logics [PDF]
KI - Künstliche Intelligenz, 2016 Fuzzy description logics (FDLs) have been introduced to represent concepts for which membership cannot be determined in a precise way, i.e., where instead of providing a strict border between being a member and not being a member, it is more appropriate to model a gradual change from membership to non-membership.
Baader, F, Borgwardt, S, Peñaloza, R
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Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
FUZZY LOGIC CONTROLLER BASED ACTIVE POWER LINE CONDITIONERS FOR COMPENSATING REACTIVE POWER AND HARMONICS [PDF]
ICTACT Journal on Soft Computing, 2010 This article explores a novel fuzzy logic controller (FLC) based threephase shunt active power line conditioners (APLC) for power quality improvements due to the non-linear loads.
Karuppanan.P +2 more
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SURVEY ON FUZZY LOGIC METHODS IN CONTROL SYSTEMS OF ELECTROMECHANICAL PLANTS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2019 The paper reviews control algorithms of electromechanical systems using the theory of fuzzy logic, describes basic principles of synthesis of these systems, discusses methods for analyzing their stability based on fuzzy Lyapunov functions.
R. Strzelecki +5 more
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A modal characterization theorem for a probabilistic fuzzy description logic
, 2022 The fuzzy modality probably is interpreted over probabilistic type spaces by taking expected truth values. The arising probabilistic fuzzy description logic is invariant under probabilistic bisimilarity; more informatively, it is non-expansive wrt.
Schroeder, Lutz +3 more
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