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Synchronization of multiple delayed fractional-order Memristive fuzzy cellular neural network via Interval matrix method

2021 40th Chinese Control Conference (CCC), 2021
The interval matrix method is applied to multiple delayed memristive fractional-order neural networks with fuzzy cellular concept to achieve synchronization. Along with interval matrix method, Lyapunov function method and regarding discontinuous part as uncertainties, the LMI type asymptotically and exponentially synchronization results are obtained ...
Xueqi Yao, Shouming Zhong
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Multiple attribute decision making based on novel score function of interval-valued intuitionistic fuzzy values, score matrix, and nonlinear programming model

Information Sciences, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shyi-Ming Chen, Ming-Han Hsu
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Multiple spike-train analysis using mutual interval matrix

Journal of Neuroscience Methods, 1991
The principal-component approach is applied to the analysis of sequences of neuronal action potentials (spike trains). Multiple spike trains are represented as a sequence of vectors of mutual interspike intervals and are considered to be part of the trajectory of a dynamic system.
P, Kaluzny, R, Tarnecki, W, Zmyslowski
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Group Decision-Making Based on Set Theory and Weighted Geometric Operator with Interval Rough Multiplicative Reciprocal Matrix

International Journal of Fuzzy Systems, 2020
Interval rough numbers play an important role in dealing with complex fuzzy relationships. In this paper, a group decision-making (GDM) model based on interval rough multiplicative reciprocal (IRMR) matrix is proposed. Firstly, the inconsistency, satisfactory consistency and complete consistency of the IRMR matrix are defined from the perspective of ...
Ruili Huang   +4 more
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Interval matrix method based synchronization criteria for fractional-order memristive neural networks with multiple time-varying delays

Journal of the Franklin Institute, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xia Huang 0002   +4 more
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Interval multiplicative pairwise comparison matrix: Consistency, indeterminacy and normality

Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multiple attribute group decision making using interval-valued intuitionistic fuzzy soft matrix

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014
A noticeable progress has been found in decision making problems since the introduction of soft set theory by Molodtsov in 1999. It is found that classical soft sets are not suitable to deal with imprecise parameters whereas fuzzy soft sets (FSS) are proved to be useful.
Sujit Das   +3 more
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Fast interval matrix multiplication

Numerical Algorithms, 2011
The author discusses various methods for the multiplication of point and/or interval matrices with interval result. Some are based on new a priori estimates of the error of floating-point matrix products. The amount of overestimation including all rounding errors is analyzed.
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Finding Enclosures for Linear Systems Using Interval Matrix Multiplication in CUDA

2014
In this paper we present CUDA kernels that compute an interval matrix product. Starting from a naive implementation we investigate possible speedups using commonly known techniques from standard matrix multiplication. We also evaluate the achieved speedup when our kernels are used to accelerate a variant of an existing algorithm that finds an enclosure
Alexander Dallmann   +2 more
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High-intensity interval exercise improves cognitive performance and reduces matrix metalloproteinases-2 serum levels in persons with multiple sclerosis: A randomized controlled trial

Multiple Sclerosis Journal, 2017
Background: Aerobic exercise can improve cognitive performance in healthy elderly people. Objective: The aim of this study was to investigate the influence of a 3-week high-intensity aerobic exercise programme (high-intensity training ...
Zimmer, Philipp   +9 more
openaire   +3 more sources

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