Data Reconciliation under Fuzzy Constraints in Material Flow Analysis

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 25
EP  - 32
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.4
DO  - 10.2991/eusflat.2013.4
ID  - Dubois2013/08
ER  -