Detail Methodology

Abstract

The present study utilized the MCDM and ANN technologies to estimate the severity of water shortage in different locations. The MCDM methods like AHP and FLDM method was utilized where the results of both were ensemble to find the priority values of the considered input parameters of the indicator. The indicator was provided with cognitive ability by inducting the ANN model for estimation of final value of the index. The index was tested for Eighteen scenarios in total. Three study areas having different level of urban population and six various climate change scenarios are produced and the index was estimated for each of the scenarios. The performance metrics of the model and sensitivity analysis of the index was also carried out.