A fuzzy constraint-based approach to data reconciliation in material flow analysis - BRGM - Bureau de recherches géologiques et minières Access content directly
Journal Articles International Journal of General Systems Year : 2014

A fuzzy constraint-based approach to data reconciliation in material flow analysis

Abstract

Data reconciliation consists in modifying noisy or unreliable data in order to make them consistent with a mathematical model (herein a material flow network). The conventional approach relies on least-squares minimization. Here, we use a fuzzy set-based approach, replacing Gaussian likelihood functions by fuzzy intervals, and a leximin criterion. We show that the setting of fuzzy sets provides a generalized approach to the choice of estimated values, that is more flexible and less dependent on oftentimes debatable probabilistic justifications. It potentially encompasses interval-based formulations and the least squares method, by choosing appropriate membership functions and aggregation operations. This paper also lays bare the fact that data reconciliation under the fuzzy set approach is viewed as an information fusion problem, as opposed to the statistical tradition which solves an estimation problem.
No file

Dates and versions

hal-01122833 , version 1 (04-03-2015)

Identifiers

Cite

Didier Dubois, Hélène Fargier, Meïssa Ababou, Dominique Guyonnet. A fuzzy constraint-based approach to data reconciliation in material flow analysis. International Journal of General Systems, 2014, 43 (8), 23 p. ⟨10.1080/03081079.2014.920840⟩. ⟨hal-01122833⟩
201 View
1 Download

Altmetric

Share

Gmail Facebook X LinkedIn More