Results 61 to 70 of about 4,537 (304)

On the Generalized Cross-Law of Importation in Fuzzy Logic

open access: yesMathematics, 2020
Recently, Baczyński et al. introduced two pexider-type generalisations of the law of importation in fuzzy logic, i.e., I(C(x, α), y)=I(x, J(α, y) (GLI) and I(C(x, α), y)=J(x, I(α, y) (CLI), where C is a fuzzy conjunction and I, J are fuzzy implications ...
Yifan Zhao, Kai Li
doaj   +1 more source

Robust Spot Melting by 3D Spot Arrangements in Electron Beam Powder Bed Fusion

open access: yesAdvanced Engineering Materials, EarlyView.
This work proposes an approach to replace separately melted contours for spot melting in electron beam powder fusion. Adapting the spot arrangements close to the contour combined with stacking yields a comparable surface quality without the inherent challenges of separate contours, as demonstrated, by electron optical images and roughness measurements.
Tobias Kupfer   +4 more
wiley   +1 more source

Generalisation of Implication-Based Fuzzy Semiautomaton Over a Finite Group

open access: yes, 2017
We have defined the concept of implication-based T-fuzzy semiautomaton (IB-T-FSA) over a finite group. The ideas of an implication-based T-fuzzy kernel and implication-based T-fuzzy subsemiautomaton of an IB-T-FSA over a finite group are introduced using ...
Michael Anna Spinneli, J.   +3 more
core   +1 more source

Generalizations of (∈,∈∨q)-Fuzzy Filters in R0-Algebras

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2010
Generalizations of a part of the paper (Ma et al., 2009) are considered. As a generalization of an (∈,∈∨q)-fuzzy filter, the notion of an (∈,∈∨qk)-fuzzy filter is introduced, and its characterizations are provided.
Young Bae Jun   +2 more
doaj   +1 more source

Modal Type of Weak Intuitionistic Fuzzy Implications Generated by the Operation Δ

open access: yesCybernetics and Information Technologies, 2021
In 2020 L. Atanassova has been introduced the new operation Δ over intuitionistic fuzzy sets and over intuitionistic fuzzy pairs. Some of its properties have been studied in 2021 from L. Atanassova and P. Dworniczak. In 2021 L.
Dworniczak Piotr   +2 more
doaj   +1 more source

Study of Two Families of Generalized Yager’s Implications for Describing the Structure of Generalized (h,e)-Implications

open access: yesMathematics, 2021
In this study, we analyze the family of generalized (h,e)-implications. We determine when this family fulfills some of the main additional properties of fuzzy implication functions and we obtain a representation theorem that describes the structure of a ...
Raquel Fernandez-Peralta   +2 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

An Algorithm for Producing Fuzzy Negations via Conical Sections

open access: yesAlgorithms, 2019
In this paper we introduced a new class of strong negations, which were generated via conical sections. This paper focuses on the fact that simple mathematical and computational processes generate new strong fuzzy negations, through purely geometrical ...
Georgios Souliotis, Basil Papadopoulos
doaj   +1 more source

Encyclopedia of 2D β′‐In2Se3 Growth Using Chemical Vapor Deposition: The Effects of Synthesis Parameters Onto Material Quality

open access: yesAdvanced Engineering Materials, EarlyView.
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge   +8 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

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