Evaluating the Performance of Liquefaction Prediction Models on the Basis of Fuzzy Sets Theory

Several Prediction models have been proposed to evaluate liquefaction phenomenon using numerical and experimental methods. The performance of each model depends on the accuracy and reliability of its output. Errors in the outputs are caused by the uncertainties in the input data. The existing uncertainty in nature and neglecting this issue in most of the presented models has led to unreliable response of these models. In this study, two liquefaction estimation models of Zhang et al. (2016) and Jafari Avval and Derakhshani (2020) are investigated in terms of the impact of uncertainty. Also, a sensitivity analysis is conducted for reliability comparison purposes.