Results 11 to 20 of about 22,711 (127)

L-FUZZY (K,E)-SOFT CLOSURE OPERATORS INDUCED BY L-FUZZY (K,E)-SOFT QUASI-UNIFORM SPACES [PDF]

open access: yesInternational Journal of Pure and Apllied Mathematics, 2016
In this paper, we investigate two L-fuzzy (K,E)-soft closure operators induced by an L-fuzzy (K,E)-soft quasi-uniform space in a complete residuated lattice L. We study the relations among L-fuzzy (K,E)-soft topology, L-fuzzy (K,E)-soft closure operators and L-fuzzy (K,E)-soft quasi-uniformities. Finally, we give their examples.
J.M. Ko, J.-M. Oh
openaire   +1 more source

Underwater Image Enhancement Algorithm Based on Attenuation Compensation and Histogram Stretching [PDF]

open access: yesJisuanji gongcheng, 2022
The complex and changeable underwater physical environment leads to the color distortion, low contrast and fuzzy details of the acquired underwater image, which affects the accuracy of underwater scene detection.An underwater image enhancement algorithm ...
LI Li, WANG Xinqiang, YIN Shan
doaj   +1 more source

Martingale Convergence Theorem for the Conditional Intuitionistic Fuzzy Probability

open access: yesMathematics, 2020
For the first time, the concept of conditional probability on intuitionistic fuzzy sets was introduced by K. Lendelová. She defined the conditional intuitionistic fuzzy probability using a separating intuitionistic fuzzy probability.
Katarína Čunderlíková
doaj   +1 more source

Support-Neutrosophic Set: A New Concept in Soft Computing [PDF]

open access: yesNeutrosophic Sets and Systems, 2017
Today, soft computing is a field that is used a lot in solving real-world problems, such as problems in economics, finance, banking. With the aim to serve for solving the real problem, many new theories and/or tools which were proposed, improved to help ...
Nguyen Xuan Thao   +2 more
doaj   +1 more source

Weakly compatible and quasi-contraction results in fuzzy cone metric spaces with application to the Urysohn type integral equations

open access: yesAdvances 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

On Another Type of Convergence for Intuitionistic Fuzzy Observables

open access: yesMathematics, 2023
The convergence theorems play an important role in the theory of probability and statistics and in its application. In recent times, we studied three types of convergence of intuitionistic fuzzy observables, i.e., convergence in distribution, convergence
Katarína Čunderlíková
doaj   +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]

open access: yesجغرافیا 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

(K,E)-SOFT TOPOLOGIES AND L-FUZZY (K,E)-SOFT NEIGHBORHOOD SYSTEMS [PDF]

open access: yesInternational Journal of Pure and Apllied Mathematics, 2016
In this paper, we define a (K,E)-soft topology in stsc-quantales. We investigate the relations between (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

Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systems

open access: yesSystems 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

open access: yesMathematics, 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

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