A grey fuzzy multiobjective programming approach for the optimal planning of municipal solid waste management systems

Abstract

The paper proposes a new approach-a grey fuzzy multiobjective mixed integer programming (GFMOMIP) model-for the evaluation of sustainable management strategies of solid waste management in a metropolitan region. In particular, it demonstrates how uncertain messages can be quantified by specific membership functions and combined through the use of grey numbers in a multiobjective solid waste management framework. It shows that the grey fuzzy outputs can successfully reflect system complexity and generate more flexible management strategies.