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Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8577
Abstract: Randomization-based interval estimation takes into account the particular randomization procedure in the analysis and preserves the confidence level even in the presence of heterogeneity. It is distinguished from population-based confidence intervals with respect to three…
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Keywords:
interval estimation;
randomization;
randomization based;
confidence ... See more keywords
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Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.455
Abstract: Abstract This paper addresses a robust periodic economic model predictive control (EMPC) based on interval arithmetic with unknown-but-bounded additive disturbances for the management of water distribution networks (WDNs). The system constraints in presence of system…
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Keywords:
robust periodic;
based interval;
periodic economic;
predictive control ... See more keywords
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Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.624
Abstract: Abstract This paper proposes a discrete-time robust fault estimation scheme based on an interval Takagi-Sugeno Unknown Input Observer (UIO). The designed observer allows the interval estimation of states and faults by considering that the uncertainty…
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Keywords:
estimation;
fault estimation;
based interval;
robust fault ... See more keywords
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Published in 2018 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2017.1033
Abstract: This study introduces a method of structure selection based on interval predictor model (IPM) and sum of squares formulation. The main contribution is to provide polynomial identified models that can recover static non-linearities from chaotic…
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Keywords:
interval predictor;
selection based;
based interval;
structure ... See more keywords
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Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2053538
Abstract: Abstract Fuzziness is an inherent property of geographical phenomena and the processes of data acquisition, processing, and analysis often introduce uncertainty. Existing methods predominantly use fuzzy set (FS) theory to capture the fuzziness of geographical…
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Keywords:
vague spatiotemporal;
spatiotemporal objects;
fuzzy;
interval type ... See more keywords
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Published in 2017 at "Hacettepe Journal of Mathematics and Statistics"
DOI: 10.15672/hjms.2017.420
Abstract: In this study, we present an integrated method of Analytical Hierarchy Process based on interval type-2 fuzzy sets (IT2FAHP) and Technique for Order Performance by Similarity to Ideal Solution based on on interval type-2 fuzzy…
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Keywords:
type fuzzy;
based interval;
fuzzy sets;
life quality ... See more keywords