Flood risk assessment ; A MCDM approach

Morteza Yazdani (1) , Pascale Zaraté (1, 2)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 UT Capitole - Université Toulouse Capitole

Uncertainty and risk are caused by million variables and either they will happen due to complex nature of the universe. This short communication investigates on effects of food risk variables (drives) on the agricultural section. Those drivers consider climate change, urban issues, socio-economic factors, and other measures. As the evaluation of agricultural production system based on multi variables is tough and usually confronts with conflicts, therefore, this article provides a framework to propose a structure with aid of multiple criteriadecision making (MCDM) and expert attitudes. By an empirical example, eight decision factors and six alternatives compose a decision matrix and multi-objective optimization method (MOORA) delivers the optimal solution. The findings of this paper can be a route for experts in this area to explore the further questions and strategies.

Mots clés: Multi objective optimization based on ratio analysis; Flood risk drivers; Multiple criteria decision making; Decision support model; RUC-APS

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Morteza Yazdani, Pascale Zaraté. Flood risk assessment ; A MCDM approach. 3rd International Conference on Decision Support Systems Technologies (ICDSST 2017), May 2017, Namur, Belgium. pp. 177-183. ⟨hal-01873808⟩