Results 91 to 100 of about 55,867 (209)
In this work, we investigate the result of dissipative analysis for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations via delay partition approach. By using the Lyapunov–Krasovskii functional and delay partition approach,
V. J. Nirmala +2 more
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An Alternative Estimation of Market Volatility based on Fuzzy Transform
Realization of uncertainty of prices is captured by volatility, that is the tendency of prices to vary along a period of time. This is generally measured as standard deviation of daily returns.
Kriplani, Pravesh +2 more
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A Study of Winning Percentage in the MLB Using Fuzzy Markov Regression
In this study, we analyze the winning percentage of 16 teams that have participated in Major League Baseball since 1901. First, 69 variables for each team are classified into pitching, batting, and fielding using factor analysis, and then the effect of ...
Seung Hoe Choi, Seo-Kyung Ji
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Clustering algorithms for fuzzy rules decomposition [PDF]
This paper presents the development, testing and evaluation of generalized Possibilistic fuzzy c-means (FCM) algorithms applied to fuzzy sets. Clustering is formulated as a constrained minimization problem, whose solution depends on the constraints ...
Igrejas, Getúlio, Salgado, Paulo
core
Evolving Large-Scale Data Stream Analytics based on Scalable PANFIS
Many distributed machine learning frameworks have recently been built to speed up the large-scale data learning process. However, most distributed machine learning used in these frameworks still uses an offline algorithm model which cannot cope with the ...
Pardede, Eric +2 more
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Propiedades de un enfoque difuso para particionamiento con datos bimodales
It is presented a new fuzzy partitioning criterion for two-mode data and an algo- rithm is formulated for its optmization. We study the convergence properties of the method. The method was tested on real data.
William Castillo Elizondo +1 more
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A Two-stage Classification Method for High-dimensional Data and Point Clouds
High-dimensional data classification is a fundamental task in machine learning and imaging science. In this paper, we propose a two-stage multiphase semi-supervised classification method for classifying high-dimensional data and unstructured point clouds.
Cai, Xiaohao +3 more
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Agent-Based Product Configuration: towards Generalized Consensus Seeking [PDF]
This paper will present an evolution of a fuzzy agent based platform which performed products configuration. As a first step, we used the notion of consensus to establish robust results at the end of the configuration process.
Beroule, Benoît +2 more
core
Ratio Interval-Frequency Density with Modifications to the Weighted Fuzzy Time Series
The improvement of plantation forecasting accuracy, particularly with regard to coffee production, was an essential aspect of earth observations for the purpose of informing plantation management alternatives.
Etna Vianita
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The module partition is the key step and foundation of module design. Firstly,the fuzzy similitude matrix between the parts is constructed according to the analysis of the functional correlation,geometric correlation,physics correlation among parts ...
Zhao Han, Zhang Nan, Zong Wei
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