Results 21 to 30 of about 3,238,240 (320)
Advances in Difference Equations, 2020 In this paper, we present some weakly compatible and quasi-contraction results for self-mappings in fuzzy cone metric spaces and prove some coincidence point and common fixed point theorems in the said space.
Shamoona Jabeen +3 more
doaj +1 more source
(K,E)-SOFT UNIFORMITIES AND L-FUZZY (K,E)-SOFT NEIGHBORHOOD SYSTEMS [PDF]
International Journal of Pure and Apllied Mathematics, 2016 In this paper, we define (K,E)-soft uniformities in complete residuated lattices. We investigate the relations among (K,E)-soft uniformities, (K,E)soft topologies and L-fuzzy (K,E)-soft neighborhood systems. We give their examples.
Y.C. Kim, A.A. Ramadan
openaire +1 more source
Evaluation of the Resilience of District 20 of Tehran Metropolitan Region (TMR) against Environmental Hazards Using Fuzzy Functions in GIS Software [PDF]
جغرافیا و برنامهریزی محیطی, 2022 Extended abstractIntroduction:The idea of resilience of different social, economic, physical, and managerial orientations has entered urban and regional studies on a large scale.
Vafa Ghaem maghami +2 more
doaj +1 more source
$L$-fuzzy ideal degrees in effect algebras [PDF]
, 2022 summary:In this paper, considering $L$ being a completely distributive lattice, we first introduce the concept of $L$-fuzzy ideal degrees in an effect algebra $E$, in symbol $\mathfrak{D}_{ei}$.
Wei, Xiaowei, Shi, Fu-Gui
core +1 more source
Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systems
Systems Science & Control Engineering, 2021 This paper investigates the design problem of fuzzy dynamic output feedback $H_\infty $ controller for nonlinear networked systems via mismatched membership functions and adaptive event-triggered (AET) mechanism.
Yameng Hu, Chong Lin
doaj +1 more source
How KLFCM Works—Convergence and Parameter Analysis for KLFCM Clustering Algorithm
Mathematics, 2023 KLFCM is a clustering algorithm proposed by introducing K-L divergence into FCM, which has been widely used in the field of fuzzy clustering. Although many studies have focused on improving its accuracy and efficiency, little attention has been paid to ...
Chaomurilige
doaj +1 more source
Yearly Residential Electricity Forecasting Model Based on Fuzzy Regression Time Series in Indonesia
Engineering Proceedings, 2023 Triangular fuzzy numbers (TFNs) are used to express the weights of criteria and alternatives to account for the ambiguity and uncertainty inherent to subjective evaluations.
Riswan Efendi +7 more
doaj +1 more source
On intuitionistic L-fuzzy primary and P-primary submodules
, 2020 In the present manuscript, we introduce and study the notion of primary submodules as well as P-primary submodules of a module in the intuitionistic L-fuzzy environment.
Sharma P. K., K. K
semanticscholar +1 more source
Exact fuzzy k-nearest neighbor classification for big datasets
IEEE International Conference on Fuzzy Systems, 2017 The k-Nearest Neighbors (kNN) classifier is one of the most effective methods in supervised learning problems. It classifies unseen cases comparing their similarity with the training data. Nevertheless, it gives to each labeled sample the same importance
Jesús Maillo +4 more
semanticscholar +1 more source
Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
, 2007 [2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
core +1 more source