Results 71 to 80 of about 62,477 (314)
The Soft Sets and Fuzzy Sets-Based Neural Networks and Application
IEEE Access, 2020 This paper reviews and compares theories of fuzzy sets and soft sets from the perspective of transformation, and a machine learning model-SF-ANN (the soft sets and fuzzy sets based artificial neural network) is proposed. Liu et al.
Zhicai Liu +3 more
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Advanced Healthcare Materials, EarlyView.Microfluidic coaxial extrusion generates size‐controlled 3D lymphatic tubes from primary human dermal lymphatic endothelial cells in a defined four‐component matrix. These engineered vessels self‐organize into stable lymphatic endothelium, maintain selective macromolecular permeability for 30 days, and enable direct comparison with blood endothelial ...
Elsa Mazari‐Arrighi +8 more
wiley +1 more source
Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter
, 2011 When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez +11 more
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Advanced Healthcare Materials, EarlyView.Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină +2 more
wiley +1 more source
Fuzzy Quantifier-Based Fuzzy Rough Sets [PDF]
Annals of computer science and information systems, 2022 Adnan Theerens, Chris Cornelis
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On the equivalence of convergences of fuzzy sets
, 2015 The aim of this paper is to compare D, h and L-convergences with the variational convergence. Our analysis, which is carried out in R(n), is made through the introduction of the space E(c)(n) of compact fuzzy sets u on R(n), for which the level function ...
RojasMedar, M, RomanFlores, H
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Application of prediction models using fuzzy sets: a Bayesian inspired approach
, 2020 CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIORCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOA fuzzy inference framework based on fuzzy relations is developed, adapted and applied to temperature and humidity ...
Bacani, Felipo, Barro, Laécio C. de
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Extending fuzzy semantic model by advanced decision rules [PDF]
, 2009 This paper extends FSM, a recently proposed semantic data model that supports fuzziness, imprecision and uncertainty of real-world. More precisely, the paper proposes four new concepts, decisional grouping, inhibition, multiplicity and selection, which ...
Ellouze, L. +7 more
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Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
On Gradual Sets, Hesitant Fuzzy Sets, and Representation Theorems
IEEE AccessWe analyze the connection between two perspectives when defining fuzzy sets: the viewpoint of mappings and the viewpoint of families of level cuts. This analysis is mathematically supported by the framework of a categorical adjunction, which serves as a ...
Pascual Jara +3 more
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