Assessing Sustainability of Gold Mining Operations Using Fuzzy Logic Methodology

In this paper, we developed and implemented a fuzzy logic expert system capable of evaluating the degree of sustainability within the context of gold mining operations. The newly introduced approach of evaluating sustainability in the gold mining industry has the merit of sufficiently handling diverse, sustainable, development-related qualitative and quantitative data owing to fuzzy logic technology capabilities in dealing with linguistic syntax. The economic, environmental and social indicator inputs were independently evaluated and then combined with the aid of fuzzy logic to provide an overall sustainability index on a scale of zero to one. A total of 66 independent indicators were identified and applied in our model. The novelty of this work lies in providing a coherent numerical and automated approach in evaluating sustainability in the context of gold mining operations. In addition, the model can aid policy- and decision-makers in arriving at consistent decisions regarding the degree of sustainability on various aspects of gold mining operations. The functionality of this model will be illustrated through several examples.