On Markov Chains with Uncertain Data [PDF]
In this paper, a general method is described to determine uncertainty intervals for performance measures of Markov chains given an uncertainty region for the parameters of the Markov chains.
Blanc, J.P.C., Hertog, D. den
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Visualization of uncertain data in the NEAT F-PROMETHEE method. [PDF]
MethodsX, 2023 Ziemba P, Piwowarski M, Nermend K.
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An Approach for Predicting Uncertain Spatiotemporal XML Data Integrated With Grey Dynamic Model
IEEE Access, 2018 Query and prediction have been proved to be one of the most important operations for uncertain spatiotemporal data and deserve further study. In this paper, we propose an approach to predict uncertain spatiotemporal data, which is intended to integrate ...
Chengjia Sun +4 more
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Data Envelopment Analysis with Uncertain Inputs and Outputs
Journal of Applied Mathematics, 2014 Data envelopment analysis (DEA), as a useful management and decision tool, has been widely used since it was first invented by Charnes et al. in 1978. On the one hand, the DEA models need accurate inputs and outputs data.
Meilin Wen +3 more
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Eye for an AI: More-than-seeing, fauxtomation, and the enactment of uncertain data in digital pathology. [PDF]
Soc Stud Sci, 2023 Carboni C +3 more
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Processing Uncertain RFID Data in Traceability Supply Chains
The Scientific World Journal, 2014 Radio Frequency Identification (RFID) is widely used to track and trace objects in traceability supply chains. However, massive uncertain data produced by RFID readers are not effective and efficient to be used in RFID application systems.
Dong Xie +3 more
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Control with uncertain data of socially structured compartmental epidemic models. [PDF]
J Math Biol, 2021 Albi G, Pareschi L, Zanella M.
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Classifying with uncertain data envelopment analysis
EURO Journal on Computational OptimizationClassifications organize entities into categories that identify similarities within a category and discern dissimilarities among categories, and they powerfully classify information in support of analysis.
Casey Garner, Allen Holder
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Considering Rain Gauge Uncertainty Using Kriging for Uncertain Data
Atmosphere, 2018 In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty. To reach sufficient spatial coverage and resolution, the integration of several rainfall data sources, including rain gauges and weather radars, is often
Francesca Cecinati +4 more
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Robust Necessary Optimality Conditions for Nondifferentiable Complex Fractional Programming with Uncertain Data. [PDF]
J Optim Theory Appl, 2021 Chen J +4 more
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