Data Reconciliation under Fuzzy Constraints in Material Flow Analysis
- 10.2991/eusflat.2013.4How to use a DOI?
- data reconciliation least squares fuzzy constraints material flow analysis
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.
- © 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/).
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 - 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 -