Results 51 to 60 of about 3,101 (257)

Multi-valued mappings on Pompeiu-Hausdorff fuzzy b-metric spaces and a common fixed point result

Vojnotehnički Glasnik
Introduction/purpose: The study of the theory of fuzzy sets was prompted by the presence of uncertainty as an essential part of real-world problems, leading Zadeh to address the problem of indeterminacy. The notion of fuzzy logic was introduced by Zadeh.
Noreddine Makran, Stojan N. Radenović
doaj   +1 more source

On Convergence of Fixed Points in Fuzzy Metric Spaces

Abstract and Applied Analysis, 2013
We mainly focus on the convergence of the sequence of fixed points for some different sequences of contraction mappings or fuzzy metrics in fuzzy metric spaces.
Yonghong Shen, Dong Qiu, Wei Chen
doaj   +1 more source

Fixed-Point Results Related to b-Intuitionistic Fuzzy Metric Space

Journal of Function Spaces, 2022
In this study, we contribute to the terminological debate about various fixed-point results’ use of the term intuitionistic fuzzy b-metric space in defining the structure based on fuzzy sets.
Mohamed Altanji, Annamalai Santhi, Vediyappan Govindan, Shyam Sundar Santra, Samad Noeiaghdam   +4 more
doaj   +1 more source

SOME RESULTS IN SOFT COMPACT FUZZY METRIC SPACES AND ITS APPLICATIONS

Journal of Amasya University the Institute of Sciences and Technology, 2022
In this paper we introduced basic notions of soft sets and examined some important properties of soft metric and soft fuzzy metric spaces. The main object of this research article to establish some coincidence point theorems in soft compact fuzzy metric ...
Vipin Kumar Sharma, Akhlak Mansurı
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Fuzzy b-Metric Spaces

International Journal of Computers Communications & Control, 2016
Metric spaces and their various generalizations occur frequently in computer science applications. This is the reason why, in this paper, we introduced and studied the concept of fuzzy b-metric space, generalizing, in this way, both the notion of fuzzy metric space introduced by I. Kramosil and J. Michálek and the concept of b-metric space.
openaire   +2 more sources

Multimodal Data‐Driven Microstructure Characterization

Advanced 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, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Non-Expansive Multi-Valued Mappings and Convexity in Fuzzy Metric Space [PDF]

Sahand Communications in Mathematical Analysis
In this article, we delve into the concept of convexity within fuzzy metric spaces and delve into their structural characteristics. We present several theorems concerning the existence of coincidence points in fuzzy convex metric spaces.
Mohammad Rashid
doaj   +1 more source

On Some New Common Fixed Point Results for Finite Number of Mappings in Fuzzy Metric Spaces

Advances in Mathematical Physics, 2022
We essentially suggest the concept of mutual sequences and Cauchy mutual sequence and utilize the same to prove the existence and uniqueness of common fixed point results for finite number of self- and non-self-mappings using fuzzy ℤ∗-contractive ...
Ayush Bartwal, Junaid Ahmad, R. C. Dimri, Gopi Prasad, Ebenezer Bonyah   +4 more
doaj   +1 more source

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

Advanced 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, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source