A model-based decision support tool using fuzzy optimization for climate change

Abstract

This paper proposes a model-based decision support tool using fuzzy optimization for assessing regional sustainability development (RSD) under climate change. The proposed tool integrates fuzzy goal programming (FGP) model with a fuzzy analytic hierarchy process (FAHP) to determine the optimal policy for RSD under climate change in the agriculture sector. The FAHP is used to handle the non-cost criteria, aspiration levels and to find the relative weights of multiple conflicting objectives in FGP model by introducing a linguistic variable that model the decision maker's preferences. The proposed tool is capable for providing different alternative policies based on the degree of uncertainty. The proposed FGP-FAHP is able to allow the decision makers to test different sustainability development policies at deferent levels such as regional, sub-regions, goals/indicators and sub-goals. © 2011 Springer-Verlag.