A belief function theory based approach to combining different representation of uncertainty in prognostics
type: Item
instance of: scholarly article
title: A belief function theory based approach to combining different representation of uncertainty in prognostics
zbMATH Open document ID: 1360.68830
author: Francesca Mangili
author: Piero Baraldi
author: E. Zio
published in: Information Sciences
publication date: 2017-05-16T00:00:00Z
full work available at URL: 17 A Belief Function Theory Based Approach to Combining Different Representation of Uncertainty in Prognostics.pdf
Mathematics Subject Classification ID: 68T37
Mathematics Subject Classification ID: 62M20
zbMATH DE Number: 6717908
zbMATH Keywords: prognostics
zbMATH Keywords: uncertainty representation
zbMATH Keywords: belief function theory
zbMATH Keywords: Gaussian process regression
zbMATH Keywords: filter clogging
MaRDI profile type: Publication
OpenAlex ID: W2003197017
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DOI: 10.1016/J.INS.2014.12.051
description: scientific article; zbMATH DE number 6717908