University of Tehran Journal of Environmental Studies 1025-8620 38 3 2012 11 21 Application of Fuzzy Logic in Site Selection of Artificial Groundwater Recharge Using Integrated Method of AHP and FTOPSIS Application of Fuzzy Logic in Site Selection of Artificial Groundwater Recharge Using Integrated Method of AHP and FTOPSIS 99 108 29152 10.22059/jes.2012.29152 FA Majid Ramezani Mehrian Bahram Malekmohammadi Yousef Rariee Journal Article 1970 01 01 The success of artificial recharge schemes requires the identification of suitable site. The use of fuzzy set theory in site selection projects allows the decision-makers to incorporate unquantifiable information into decision model. In this paper, site selection of artificial groundwater recharges using an integrated method of Fuzzy TOPSIS and AHP has been done in raster environment of GIS. The FTOPSIS is one of the MCDM methods that by using fuzzy logic in the TOPSIS method have been developed. By selecting Shemil Ashkara plain as a case study, factors such as: slope, electrical conductivity, potential of run-off, geology, land use and depth of groundwater table are considered to determine the areas most suitable for artificial groundwater recharge. For validating the proposed method, the zoning of artificial recharge was done by using AHP method. The results indicate that using of multiple criteria decision making techniques for structuring decision problems, designing, evaluating, and prioritizing alternative decisions and GIS to analyze many types of geographic data and information and fuzzy logic to utilize linguistic terms in judgments prepare a powerful tool for site selection of artificial groundwater. The success of artificial recharge schemes requires the identification of suitable site. The use of fuzzy set theory in site selection projects allows the decision-makers to incorporate unquantifiable information into decision model. In this paper, site selection of artificial groundwater recharges using an integrated method of Fuzzy TOPSIS and AHP has been done in raster environment of GIS. The FTOPSIS is one of the MCDM methods that by using fuzzy logic in the TOPSIS method have been developed. By selecting Shemil Ashkara plain as a case study, factors such as: slope, electrical conductivity, potential of run-off, geology, land use and depth of groundwater table are considered to determine the areas most suitable for artificial groundwater recharge. For validating the proposed method, the zoning of artificial recharge was done by using AHP method. The results indicate that using of multiple criteria decision making techniques for structuring decision problems, designing, evaluating, and prioritizing alternative decisions and GIS to analyze many types of geographic data and information and fuzzy logic to utilize linguistic terms in judgments prepare a powerful tool for site selection of artificial groundwater. https://jes.ut.ac.ir/article_29152_b4dff4b6357042320679371c997f2885.pdf