Results 11 to 20 of about 527,119 (255)
Tauberian theorems for weighted means of double sequences in intuitionistic fuzzy normed spaces [PDF]
Yugoslav Journal of Operations Research, 2022 We define weighted mean summability method of double sequences in intuitionistic fuzzy normed spaces(IFNS), and obtain necessary and sufficient Tauberian conditions under which convergence of double sequences in IFNS follows from their weighted mean ...
Narayan Mishra Lakshmi +3 more
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Combination Evaluation Method of Fuzzy C-Mean Clustering Validity Based on Hybrid Weighted Strategy
IEEE Access, 2021 Clustering validity function is an index used to judge the accuracy of clustering results. At present, most studies on clustering validity are based on single clustering validity function.
H. Y. Wang, J. S. Wang, G. Wang
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New Strategy for Improving the Accuracy of Aircraft Positioning Based on GPS SPP Solution
Sensors, 2020 The paper describes and presents a new calculation strategy for the determination of the aircraft’s resultant position using the GPS (Global Positioning System) SPP (Single Point Positioning) code method.
Kamil Krasuski +3 more
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Tauberian theorems for the weighted mean method of summability of integrals [PDF]
AIP Conference Proceedings, 2019 Let $q$ be a positive weight function on $\mathbf{R}_{+}:=[0, \infty)$ which is integrable in Lebesgue's sense over every finite interval $(0,x)$ for $0<x<\infty$, in symbol: $q \in L^{1}_{loc} (\mathbf{R}_{+})$ such that $Q(x):=\int_{0}^{x} q(t) dt\neq 0$ for each $x>0$, $Q(0)=0$ and $Q(x) \rightarrow \infty $ as $x \to \infty $.Given a real ...
Firat Ozsarac, Ibrahim Canak
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Mean Error Rate Weighted Online Boosting Method
The Computer Journal, 2021 Abstract Boosting is a generally known technique to convert a group of weak learners into a powerful ensemble. To reach this desired objective successfully, the modules are trained with distinct data samples and the hypotheses are combined in order to achieve an optimal prediction. To make use of boosting technique in online condition is
Nagaraj Honnikoll, Ishwar Baidari
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Sensors, 2020 Nowadays, the sizes of pixel sensors in digital cameras are decreasing as the resolution of the image sensor increases. Due to the decreased size, the pixel sensors receive less light energy, which makes it more sensitive to thermal noise.
Yeahwon Kim +3 more
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Mathematics, 2022 To deal with complicated decision problems with T-Spherical fuzzy values in the aggregation process, T-Spherical fuzzy Bonferroni mean operators are developed by extending the Bonferroni mean and Dombi mean to a T-Spherical fuzzy environment.
Wei Yang, Yongfeng Pang
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Frontiers in Psychology, 2021 In this paper, a new item-weighted scheme is proposed to assess examinees’ growth in longitudinal analysis. A multidimensional Rasch model for measuring learning and change (MRMLC) and its polytomous extension is used to fit the longitudinal item ...
Xuemei Xue, Jing Lu, Jiwei Zhang
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On absolute weighted mean summability methods [PDF]
Proceedings of the American Mathematical Society, 1992 In this paper we have proved the converse of the Bor-Thorpe theorem [2] on absolute weighted mean summability.
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IEEE Access, 2022 For the dynamic multi-attribute decision-making problem, the decision information is usually given in the form of the interval-valued picture fuzzy number (IVPFN), and the attributes are also usually related to each other, a decision method based on the ...
Jian-Ping Fan, Heng Zhang, Mei-Qin Wu
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