Results 1 to 10 of about 21,937,741 (256)
(L,M)-Fuzzy k-Pseudo Metric Space
Recently, the notion of a classical k-metric, which make the triangle inequality to a more general axiom: d(x,z)≤k(d(x,y)+d(y,z)), has been presented and is applied in many fields.
Yu Zhong +3 more
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In the present study, we preface the notion of the (L,⊙)-fuzzy (K,E)-soft filter and probe many of its characteristics. Using certain operations, we induce (L,⊙)-fuzzy (K,E)-soft topologies from (L,⊙)-fuzzy (K,E)-soft filters.
Ahmed Aref Abd El-Latif +1 more
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Pointwise k-Pseudo Metric Space
In this paper, the concept of a k-(quasi) pseudo metric is generalized to the L-fuzzy case, called a pointwise k-(quasi) pseudo metric, which is considered to be a map d:J(LX)×J(LX)⟶[0,∞) satisfying some conditions.
Yu Zhong, Alexander Šostak, Fu-Gui Shi
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A hybrid machine learning and explainable AI framework for optimizing risk-based authentication. [PDF]
As online platforms continue to grow, the need for strong authentication mechanisms becomes increasingly important to protect sensitive information and networks.
K Sasikumar, Sivakumar Nagarajan
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Simultaneous removal of nitrogen and phosphorous is a recommended practice while treating wastewater. In the present study, control strategies based on proportional-integral (PI), model predictive control (MPC), and fuzzy logic are developed and ...
Abdul Gaffar Sheik +5 more
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The inability of traditional privacy-preserving models to protect multiple datasets based on sensitive attributes has prompted researchers to propose models such as SLOMS, SLAMSA, (p, k)-Angelization, and (p, l)-Angelization, but these were found to be ...
Tehsin Kanwal +4 more
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Martingale Convergence Theorem for the Conditional Intuitionistic Fuzzy Probability
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
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Support-Neutrosophic Set: A New Concept in Soft Computing [PDF]
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
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Underwater Image Enhancement Algorithm Based on Attenuation Compensation and Histogram Stretching [PDF]
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
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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
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