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

Authors:
Omar S. Soliman;Aboul Ella Hassanien;Neveen I. Ghali;Nashwa El-Bendary;Ruhul A. Sarker
Affiliations:
Faculty of Computers and Information, Cairo University, Orman, Giza, Egypt and Abo's Reserach Lab., Cairo, Egypt;Faculty of Computers and Information, Cairo University, Orman, Giza, Egypt and Abo's Reserach Lab., Cairo, Egypt;Faculty of Science, Computer Science, Al-Azhar University, Egypt and Abo's Reserach Lab., Cairo, Egypt;Arab Academy for Science, Technology, and Maritime Transport, Egypt and Abo's Reserach Lab., Cairo, Egypt;School of Engineering and IT, UNSW@ADFA, Canberra, Australia
Venue:
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Year:
2011

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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.