Author(s)

A. Nedimgadi, A.C. Bagtzoglou & B. Sagar

Abstract

Several technical and regulatory uncertainties affect the evaluation of the future performance of a High-Level radioactive Waste (HLW) repository. For example, quantitative scientific data obtained during periods of site characterization, repository operation and performance confirmation is often incomplete and imprecise. However, such data can be complemented with a significant amount of qualitative data. To date, there is no proven technique that is flexible enough to incorporate uncertain or qualitative data within the constitutive equations for some of the processes responsible for the long term evolution of the repository system. This prompted the development of an innovative methodology based on fuzzy logic to

Keywords