Environmental life cycle assessment with support of fuzzy-sets

The application of the methodology Life Cycle Assessment (LCA) is time-cons uming and expensive. A definite interpretation, furthermore, is not always derivable from the determined results. The reason for the leeway of interpr etation is frequently due to the imprecision and uncertainty of the ingoing data. An improved clearance of interpretation is to be expected by an ecol ogical evaluation of methodology with the support of fuzzy-sets. The influe nce of uncertainties of ingoing data on evaluation results becomes transpar ent through a representation as fuzzy-sets. Thus, the interpretation of an uncertainty of assessment results is reduced in comparison to usual procedu res for environmental LCA thus far. Time and cost saving is to be expected from the fact that the extensive quantification of many energy and mass flo ws is replaced by a fuzzy-set supported iteration loop, with which only the exact quantification of a few important flows is necessary.