A grey analytic network process (ANP) model to identify storm tide risk

Storm tide risk is a function of many factors, besides it is dynamic and complex. There may be relations and dependencies among the risk related factors. Therefore, storm tide risk should be analyzed in a holistic manner. In this study, the storm tide risk (STR) which is tried to be determined through analytical network process (ANP) which is an extension of analytical hierarchy process and allows analysis of complex systems. Besides, there are many difficulties and limitations in measuring the faulty behavior factors. For this reason, the weights of factors and sub-factors which are necessary to calculate the FBR are determined by using grey ANP and by this way it is possible to make better decisions in this process.