Results 11 to 20 of about 3,238,240 (320)
Nonlinear L-fuzzy stability of k-cubic functional equation [PDF]
Filomat, 2015 In this paper, we establish the stability result for the k-cubic functional equation 2[kf (x+ky)+f (kx-y)]=k(k2+1)[f(x+y)+f(x-y)] + 2(k4-1) f(y), where k is a real number different from 0 and 1, in the setting of various L-fuzzy normed spaces that in turn generalize a Hyers-Ulam stability result in the framework of classical normed spaces.
Saadati, R., Cho, Y.J., Rassias, J.M.
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Sustainability, 2023 Precision agriculture (PA), management zone (MZ) strategies at the field level, soil analyses, deficit irrigation (DI), and fertilizer Variable Rate Application (VRA) are management strategies that help farmers improve crop production, fertilizer use ...
Ag. T. Filintas +3 more
semanticscholar +1 more source
Digital Communications and Networks, 2023 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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L-FUZZY (K,E)-SOFT CLOSURE OPERATORS INDUCED BY L-FUZZY (K,E)-SOFT QUASI-UNIFORM SPACES [PDF]
International 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
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Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data
IEEE transactions on fuzzy systems, 2020 One of the best-known and most effective methods in supervised classification is the k-nearest neighbors algorithm (kNN). Several approaches have been proposed to improve its accuracy, where fuzzy approaches prove to be among the most successful ...
Jesús Maillo +4 more
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Water, 2023 The objective of our investigation was to study the various effects of correct and incorrect application of fuzziness exponent, initial parameterization and fuzzy classification algorithms modeling on homogeneous management zones (MZs) delineation of a ...
Ag. T. Filintas +3 more
semanticscholar +1 more source
Underwater Image Enhancement Algorithm Based on Attenuation Compensation and Histogram Stretching [PDF]
Jisuanji 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
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Martingale Convergence Theorem for the Conditional Intuitionistic Fuzzy Probability
Mathematics, 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
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Support-Neutrosophic Set: A New Concept in Soft Computing [PDF]
Neutrosophic 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
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(K,E)-SOFT TOPOLOGIES AND L-FUZZY (K,E)-SOFT NEIGHBORHOOD SYSTEMS [PDF]
International 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
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