Results 51 to 60 of about 561,514 (345)

Fuzziness in Information Systems

Electronic Notes in Theoretical Computer Science, 2003
AbstractThis paper considers an approach to approximation of sets assuming fuzzy description of information systems. The notions of lower and upper approximation of fuzzy sets are analysed. Modified definitions of approximations are proposed by extending the concept of variable precision rough sets on fuzzy sets.
Leszek Rolka, Alicja Mieszkowicz-Rolka
openaire   +2 more sources

Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins

FEBS Open Bio, EarlyView.
We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó, Eszter Nagy‐Kanta, Soma Varga, Edit Andrea Jáger, Csaba István Pongor, Mária Laki, András József Laki, Zoltán Gáspári   +7 more
wiley   +1 more source

Circuit2Graph: Circuits With Graph Neural Networks

IEEE Access
Circuit design requires trial and error in both prototyping and simulation owing to the high degrees of freedom and mutual interference between the components.
Yusuke Yamakaji, Hayaru Shouno, Kunihiko Fukushima   +2 more
doaj   +1 more source

Fuzzy Bi-level Decision-Making Techniques: A Survey

International Journal of Computational Intelligence Systems, 2016
Bi-level decision-making techniques aim to deal with decentralized management problems that feature interactive decision entities distributed throughout a bi-level hierarchy.
Guangquan Zhang, Jialin Han, Jie Lu
doaj   +1 more source

Application of Fuzzy control algorithms for electric vehicle antilock braking/traction control systems [PDF]

, 2003
—The application of fuzzy-based control strategies has recently gained enormous recognition as an approach for the rapid development of effective controllers for nonlinear time-variant systems.
Bingham, Chris, Khatun, P, Mellor, P H, Schofield, N   +3 more
core   +1 more source

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo, Kilian Hett, Amy Cooper, Amy E. Brown, Jessica Iregui, Manus J. Donahue, M. Erik Landman, Italo Biaggioni, Margaret Bradbury, Cynthia Wong, David Stamler, Daniel O. Claassen   +11 more
wiley   +1 more source

Advanced inference in fuzzy systems by rule base compression [PDF]

, 2007
This paper describes a method for rule base compression of fuzzy systems. The method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base.
Gegov, Alexander, Gobalakrishnan, N.
core   +1 more source

Glial Fibrillary Acidic Protein Astrocytopathy Based on a Two‐Center Chinese Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glial fibrillary acidic protein astrocytopathy (GFAP‐A) is a recently defined nosological form belonging to the class of autoimmune inflammatory disorders affecting the central nervous system (CNS). Here, we report the clinical and MRI characteristics, treatment, and prognosis of a GFAP‐A cohort from two centers in China.
Ti Wu, Hao Zhang, Chao Gao, Qiuhua Yu, Moli Fan, Lin‐Jie Zhang, Haipeng Zhang, Hengri Cong, Yuzhen Wei, Chotima Böttcher, Alexej Verkhratsky, Friedemann Paul, Fu‐Dong Shi, Tian Song   +13 more
wiley   +1 more source

Optimization of Fuzzy Controller Using Galactic Swarm Optimization with Type-2 Fuzzy Dynamic Parameter Adjustment

Axioms, 2019
Galactic swarm optimization (GSO) is a recently created metaheuristic which is inspired by the motion of galaxies and stars in the universe. This algorithm gives us the possibility of finding the global optimum with greater precision since it uses ...
Emer Bernal, Oscar Castillo, José Soria, Fevrier Valdez   +3 more
doaj   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source