Author(s)

Steven Carter, Michael Negnevitsky and Alan Robertson

Abstract

This paper describes a method of assessing the sustainability impact of projects, based on using a fuzzy model to predict changes to an appropriate set of sustainability indicators. It is argued that fuzzy techniques offer a natural way to handle the \“best-guess” or otherwise uncertain data which is typically available for model input. The method is applied to a major Australian mining operation, and predicted indicator changes are shown to agree well with estimated changes. 1 Introduction Development applications are routinely supported by

Keywords