Results 1 to 10 of about 80,067 (268)
Flexible resampling for fuzzy data
International Journal of Applied Mathematics and Computer Science, 2020 In this paper, a new methodology for simulating bootstrap samples of fuzzy numbers is proposed. Unlike the classical bootstrap, it allows enriching a resampling scheme with values from outside the initial sample.
Grzegorzewski Przemyslaw +2 more
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Implementation of EM algorithm based on non-precise observations [PDF]
Journal of Mahani Mathematical Research, 2023 The EM algorithm is a powerful tool and generic useful device in a variety of problems for maximum likelihood estimation with incomplete data which usually appears in practice.
Abbas Parchami
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Overhaul Scheduling, considering the limited access to spare parts, reliability, and equipment availability by using fuzzy data [PDF]
مجله مدل سازی در مهندسی, 2023 This article presents a mathematical model to develop the optimal planning for equipment overhaul under limited access to spare parts, uncertainty, and lack of accurate and complete information.
MAHMOUD SHAHROKHI, Ahsan Majidi
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Determining the Risk Level in Client Analysis by Applying Fuzzy Logic in Insurance Sector
Mathematics, 2022 The aim of the paper is to determine the risk level of a contract extension with the existing policyholders, which is further propagated to the business effectiveness and long-term sustainability of the company.
Jelena Lukić +4 more
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A Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data.
J. Tayyebi, E. Hosseinzadeh
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An Exponential Autoregressive Time Series Model for Complex Data
Mathematics, 2023 In this paper, an exponential autoregressive model for complex time series data is presented. As for estimating the parameters of this nonlinear model, a three-step procedure based on quantile methods is proposed. This quantile-based estimation technique
Gholamreza Hesamian +3 more
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Learning Three Dimensional Tennis Shots Using Graph Convolutional Networks
Sensors, 2020 Human movement analysis is very often applied to sport, which has seen great achievements in assessing an athlete’s progress, giving further training tips and in movement recognition. In tennis, there are two basic shots: forehand and backhand, which are
Maria Skublewska-Paszkowska +2 more
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Fuzzy Ranking Network DEA with General Structure
Mathematics, 2020 This paper extends two fuzzy ranking data envelopment analysis (DEA) approaches to the case of general networks of processes. The first approach provides an efficiency score for each possibility level which requires solving one linear program for each ...
Plácido Moreno, Sebastián Lozano
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Characterization of Topological Fuzzy Sets in Hausdorff Spaces [PDF]
Transactions on Fuzzy Sets and Systems, 2022 In this paper, we have characterized big data fuzzy sets and shown that topological data points form singleton fuzzy sets which are closed. Besides, fuzzy sets of topological data points are compact and have at least one closed point.
Benard Okelo, Allan Onyango
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A Fuzzy EWMA Attribute Control Chart to Monitor Process Mean
Information, 2018 Conventional control charts are one of the most important techniques in statistical process control which are used to assess the performance of processes to see whether they are in- or out-of-control.
Muhammad Zahir Khan +4 more
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