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.
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Soliman, O.S., Hassanien, A.E., Ghali, N.I., El-Bendary, N., Sarker, R.A. (2011). A Model-Based Decision Support Tool Using Fuzzy Optimization for Climate Change. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_51
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DOI: https://doi.org/10.1007/978-3-642-24425-4_51
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