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LCA Methodology
Visual Data Analysis and Decision Support Methods for Non-Deterministic LCA
Jean-François Le Téno
Corresponding author:: Dr. Jean-Francois Le Téno, Centre Scientifique et Technique du Bâtiment, 24, rue J. Fourier, F-38400 St Martin d´Hères, France
Principal components analysis coupled with non-parametric bootstrapping is introduced with an example as a powerful tool to help visualise, analyse and decide on comparative or single non-deterministic LCI/LCIA results. Decision support is provided by adding non-parametric bootstrapping (NPB) to the GAIA plane, which is a special case of principle comments analysis (PCA) built around the Promethée multicriteria decision aid model. In addition to an easy to analyse visual presentation of otherwise complex and cluttered numerical results, PCA with NPB is equally at ease will all data uncertainty formats used to date in LCA. | | Keywords: bootstrapping; MCDA, multi criteria decision aid; multi criteria decision aid (MCDA); non-deterministic LCA; non-parametric bootstrapping (NPB); NPB, non-parametric bootstrapping; PCA, principal components analysis; principal components analysis (PCA); Promethée; visual data analysis final analysis of LCA results |
4 LCA (1) 41-47 (1999)
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