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Currently, construction of underground caverns in salt domes using the solution mining technology is a priority among projects for the underground storage of natural gas in Iran. Solution mining in areas with hot and arid climates has not been widely accepted all over the world due the problems with supplying the water required for the salt solution process. Because of the arid and hot climate of the study area, supply of water required for the solution process was one of the most important challenges in this project. In this paper, different scenarios were considered based on the amount of water available for the construction of a cavern with a capacity of 500,000 m(3) using the solution mining. All of the scenarios indicated that in order to construct the aforementioned cavern, the water shortage problem is a major challenge to which solutions shall be prepared before executing the project. In order to resolve this challenge establishment of a desalination plant for recycling the brine resulted from the solution mining process must be considered one of the effective ways returning water to the reuse cycle. Because of the advantages and disadvantages associated with each desalination technology, the selection of the optimum technique for any specific area is a complicated task due to the diversity of objectives and constraints that should be considered and satisfied simultaneously. In this situation where the decision maker confronts many criteria and constraints, multi attribute decision making (MADM) methods can offer a proper solution. The fuzzy analytical hierarchy process (FAHP) is one of the MADM methods utilizing structured pair-wise comparisons. This paper presents an application of the FAHP method to select suitable solution mining brine recycling method. In the proposed FAHP model, fifteen main criteria and four alternatives (desalination technology) are considered. These studies show that such FAHP application can effectively assist engineers to evaluate solution mining brine recycling methods.