Results 21 to 30 of about 357,766 (300)
The minimum covariance determinant estimator for interval-valued data
Statistics and Computing, 2023 Abstract Effective estimation of covariance matrices is crucial for statistical analyses andapplications. In this paper, we focus on the robust estimation of the covariancematrix for interval-valued data in low and moderate high dimensions. In the low-dimensional scenario, we extend the Minimum Covariance Determinant (MCD)estimator to interval ...
Tian, Wan, Qin, Zhongfeng
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Axioms, 2022 Many fuzzy concepts have been researched and described with uncertain information. Collecting data under uncertain information is a difficult task, especially when there is a difference between the opinions of experts.
Ansa Ashraf +5 more
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Robust Regression for interval valued data
, 2023 Abstract This paper presents robust regression technique of a multiple linear regression model for interval valued data that contains outliers. The proposed technique construct two models separately for mid values and spread values of the intervals.
T. Palanisamy +2 more
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Tracking uncertainty in a spatially explicit susceptible-infected epidemic model [PDF]
, 2010 In this paper we conceive an interval-valued continuous cellular automaton for describing the spatio-temporal dynamics of an epidemic, in which the magnitude of the initial outbreak and/or the epidemic properties are only imprecisely known.
Baetens, Jan, De Baets, Bernard
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Open Mathematics, 2020 In this article, we study the nonlinear and nonsmooth interval-valued optimization problems in the face of data uncertainty, which are called interval-valued robust optimization problems (IVROPs).
Zhao Jing, Bin Maojun
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Fuzzy clustering of spatial interval-valued data
Spatial Statistics, 2023 In this paper, two fuzzy clustering methods for spatial interval-valued data are proposed, i.e. the fuzzy C-Medoids clustering of spatial interval-valued data with and without entropy regularization. Both methods are based on the Partitioning Around Medoids (PAM) algorithm, inheriting the great advantage of obtaining non-fictitious representative units
Livia De Giovanni +3 more
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Energy and Spectrum Analysis of Interval Valued Neutrosophic Graph using MATLAB [PDF]
Neutrosophic Sets and Systems, 2019 In recent time graphical analytics of uncertainty and indeterminacy has become major concern for data analytics researchers. In this direction, the mathematical algebra of neutrosophic graph is extended to interval-valued neutrosophic graph.
Said Broumi +4 more
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Novel similarity measure for interval-valued data based on overlapping ratio [PDF]
, 2017 In computing the similarity of intervals, current similarity measures such as the commonly used Jaccard and Dice measures are at times not sensitive to changes in the width of intervals, producing equal similarities for substantially different pairs of ...
Aickelin, Uwe +4 more
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International Journal of Computational Intelligence Systems, 2019 To solve the interval-valued intuitionistic fuzzy decision-making problems with high-dimension data, the fuzzy matrix is extended to the fuzzy tensor in this paper.
Shengyue Deng +3 more
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An Interval-Valued Data Classification Method Based on the Unified Representation Frame
IEEE Access, 2020 Interval-valued data (IVD) is a kind of data where each feature is an interval. The midpoint and boundary are the two commonly used methods for representing IVD. However, their structure information (such as location, size) may be incomplete because only
Xiaobo Qi +3 more
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