Lca comparison results with midpoint method associated wtih fuzzy logic Vs. endpoint method
Résumé
The life cycle assessment (LCA) quantifies impacts, on the environment components, of the emitted or consumed substances. At a "midpoint" level, the end-user has to deal with results in many impact categories. A new multi-criteria assessment method provieds a solution to aggregate, together, those results. This study's objective is to compare two methods giving a final indicator provided by the result of the LCIA mehtod, in order to help end-users optimize the use of the caclulation results. The LCIA studies have been doe ten grape production plots, with five contrasted vineyard management routes and two contrasted years. The "ReCiPe" characterization methods were used to compare "endpoint" results, with "midpoint" results associated with an aggregarive method : CONTRA, i.e. "transparent Construction of Decision tree" (Bockstaller, 2016) developed for viticulture. The "midpoint+CONTRA-QUALENVIC" method is a new multi-criteria decision analysis method (MCDA), using expert systems, associated to fuzzy logic. In the presented results, both methods have provided a similar ranking for 80 % of the individuals. The presented results show that the "endpoint" mehtod does note clearly differentiate the first five individual. Both methods provide also intermediary criteria. The results obtained by the two methods are consistent, going in the same direction and provide good representation of the indicators results. However, "midpoint" + CONTRA-QUALENVIC" method has the advantage of giving the possibility to go back to details of the "midpoint" impact origin provided by the LCIA.