Multi Attribute Decision Making Approach for the Selection of Urban Wastewater System

Implementation and operation of municipal wastewater collection systems is an essential part of qualitative water resource management. In this paper, the most appropriate alternative among a set of limited of wastewater collection systems was selected using different quantitative and qualitative attributes. Moreover, the impact of risk attitudes of decision makers (DMs) on selection of the most preferred alternative was evaluated. As a case study the best alternative was examined using four MADM methods including Simple Additive Weighting (SAW), Compromise Programming (CP), TOPSIS, and Hybrid Weighted Averaging (HWA) to validate the application of RB-MADM methods in wastewater collection systems. Then, the impact of selection of MADM method on the final outcome was studied and the results were compared.