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In order to optimally manage the pressure and reduce the non-revenue water as much as possible, taking into account the costs of each activity, it is necessary to examine the priority of each solution by scientific methods and considering the costs, efficiency and duration of implementation. Therefore, in order to avoid cost wastage and efficient use of financial resources, it is necessary to use a comprehensive and systematic approach to identify different strategies that can be used to manage urban water pressure, the benefits and Compare their disadvantages. In the statistical population of this research, the knowledge and experience of 35 experts in the water and wastewater industry were used. Also in order to prioritize the proposed operations with the aim of reducing non-revenue water based on three criteria: the impact of the project, the duration of the project and the cost of the project, the integrated TOPSIS-VIKOR method has been used. Findings indicate that in the first priority, the installation of online data loggers pressure gauges, the second priority is the continuous updating of water maps and GIS network mapping, and in the third priority the completion of its information layers including pipe life, material and diameter, were located.

This paper presents a mathematical model for a flow shop scheduling problem consisting of m machine and n jobs with fuzzy processing times that can be estimated as independent stochastic or fuzzy numbers. In the traditional flow shop scheduling problem, the typical objective is to minimize the makespan). However,, two significant criteria for each schedule in stochastic models are: expectable makespan and the probability of minimizing the makespan. These criteria can be considered for fuzzy problems as well. In this paper, we propose a solution for the fuzzy model by the use of fuzzy logic based on developing the model presented by MacCahon [18].