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Data Reconciliation under Fuzzy Constraints in Material Flow Analysis

Dubois, Didier and Fargier, Hélène and Guyonnet, Dominique Data Reconciliation under Fuzzy Constraints in Material Flow Analysis. (2013) In: 8th European Society For Fuzzy Logic And Technology Conference (EUSFLAT 2013), 11 September 2013 - 13 September 2013 (Milan, Italy).

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Official URL: http://dx.doi.org/10.2991/eusflat.2013.4

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Altantis Press. ISBN: 978-90786-77-78-9 The definitive version is available at : http://www.atlantis-press.com/php/pub.php?publication=eusflat-13&frame=http%3A//www.atlantis-press.com/php/paper-details.php%3Fid%3D8366
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
French research institutions > Bureau de Recherches Géologiques et Minières - BRGM (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:16 Sep 2015 08:55

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