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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.
Théveny, Philippe, Revol, Nathalie
openaire   +4 more sources

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
openaire   +1 more source

Fast Inclusion of Interval Matrix Multiplication

Reliable Computing, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ogita, Takeshi, Oishi, Shin'ichi
openaire   +2 more sources

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
openaire   +2 more sources

Multiple attribute decision making based on novel score function of interval-valued intuitionistic fuzzy values, score matrix, and nonlinear programming model

Information Sciences, 2023
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Chen, Shyi-Ming, Hsu, Ming-Han
openaire   +1 more source

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 ...
Rui-lu Huang   +4 more
openaire   +1 more source

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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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   +4 more
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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
openaire   +1 more source

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 group (HIT)) on cognitive performance in persons with multiple sclerosis (MS) compared with a standard exercise ...
Zimmer, Philipp   +9 more
openaire   +3 more sources

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