Optimization of land suitability evaluation, using fuzzy analytic hierarchy process(FAHP) base on parametric evaluation method

New irrigation field assessment strategies can be used to improve water use performance in agriculture. In this study, the fuzzy Analysis Hierarchical Process (FAHP) for qualitative soil suitability for drip irrigation is used and compared with conventional parametric approaches. An assessment based primarily on a fully parametric approach identified sites with approximately 2941 hectares (57%) of land to be 'Very Suitable (S 1 )'. and an area of about 247 hectares (5%) of areas, was “Partly appropriate (S 2 )” and about 798 hectares (15%) were “Approximately appropriate (S 3 )”. “Permanently inappropriate (N 2 )” included about 452 hectares (9%) and “Inappropriate in present condition (N 1 )” suitability matched 737 hectares (14%) in the study zone. Based on the Fuzzy Analytic Hierarchical Process(FAHP), (S 1 ) suitability included an area of about 2873 hectares (56%) and the parts with (S 2 ) suitability, also included an area of about 2100 hectares (41%). Moreover, areas of about 130 hectares (3%) were “Approximately appropriate (S 3 )”. Some southwest and west parts of the plain were “Inappropriate in present condition (N 1 )”, that included an area of about 72 hectares (1%). Also, there were no “Permanently inappropriate (N 2 )” regions in the plane based on the FAHP method. As a result, there was no significant difference between the two methods in terms of "highly suitable lands”. However, in the fields with (S 2 ) fitness, the differences between the methods are very large, with the FAHP method showing higher field fitness than the conventional parametric method. We point out that FAHP assessment is more accurate than traditional parametric methods of assessing soil suitability, considering the gradual changes in soil properties. Considering the slow changes in the soil-influencing parameters and the variable membership functions of these parameters, and the different weightings of the indices influencing the evaluation, the anomalous influence of the factors on the final characterization was reduced by the FAHP method and the evaluation approaches its true value.