Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

Data Reconciliation under Fuzzy Constraints in Material Flow Analysis

Authors
Didier Dubois, Hélène Fargier, Dominique Guyonnet
Corresponding Author
Didier Dubois
Available Online August 2013.
DOI
https://doi.org/10.2991/eusflat.2013.4How to use a DOI?
Keywords
data reconciliation least squares fuzzy constraints material flow analysis
Abstract
Data reconciliation consists in modifying noisy or unreliable data in order to satisfy a mathematical model (herein a material flow network). The conventional approach relies on least squares minimization. Here we show that the setting of fuzzy sets provides a generalized approach that is more flexible and less dependent on oftentimes debatable probabilistic justifications. Moreover the proposed setting also encompasses constraint-based formulations using intervals.
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Proceedings
8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-78-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2013.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Didier Dubois
AU  - Hélène Fargier
AU  - Dominique Guyonnet
PY  - 2013/08
DA  - 2013/08
TI  - Data Reconciliation under Fuzzy Constraints in Material Flow Analysis
BT  - 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.4
DO  - https://doi.org/10.2991/eusflat.2013.4
ID  - Dubois2013/08
ER  -