Making decision has become one of the most challenging responsibilities of managers in recent decades. Finding the optimum solution for multiple criteria decision making problems is complicated. Notably, Multiplicity of decision making indices accompanied by variability in quantitative and qualitative measures aggregates the complexity of decisions. Operations research (OR) and multiple criteria decision making (MCDM) techniques have enabled industrial engineers and managers to deal with such problems more easily. Although spouse selection can be defined as an important multiple criteria decision problem, an applicable decision model have not been developed in this field yet. In this paper we propose an aggregated algorithm using UTA and Permutation in order to develop a DSS (decision support system) which supports user in the process of selecting the most appropriate spouse. This system is simple to use and does not require any special expertise or computation.