Today, desertification as the ultimate limit of land distraction has became one of the biggest problem of arid ecosystems. In this process, the role of human factors is far more than natural factors. Land-use and its management in which the human wrong decision has caused the desertification in ecosystems. Decision support system as a set of skills and techniques along with software can facilitate decision-making of land use and prevents multiple losses. Linear Programming model in the form of a Multi Criteria and Multi-Objective planning, and Analytic Hierarchy Process in the form of a spatial Multi Criteria evaluation as processors for this system, has proposed optimized solutions in order to solve existing problems. During the linear programming process of this survey, defining the maximum for three goal function including land cover, net income and occupation in three form of three separate scenarios and considering the limitations in each scenario, the reallocation of three new land utility type consisting of beekeeping, inclosing with planting operations and livestock grazing with seedling in 12 land mapping have been assessed and after comparing the results with current land-uses, the best condition for each scenario has been determined. The database management and economical calculation of this part of study using Microsoft Excel 2013 software led to extraction of decision matrix for this system and in the next step, the linear programming model using GAMS software have presented the optimum condition for each planning unit. AHP model as another part of this research and the fourth scenario has been executed to locate the areas for residential land-use expansion. For this purpose, all criteria affecting the selection of the best places have been organized and scored based on five criteria including access to water and sewage networks, the topographic characteristics , soil and rock, environmental conditions and a group of other factors. Therefore, it has allotted the most and the least scores to access to water and sewage network and other factors respectively. In this part of the study, all stages and mathematical computations for calculating weights based on hierarchical analysis model and Eigenvector method using MATLAB R2013b software have been formed and the final weights of all criteria have been extracted using replacing decision matrix. In following, the ultimate weighted map with continuous value have acquired through transferring the value of to the relevant maps and combining all maps via ArcGIS 9.3. According to the results of final weighted map, study area of Farfahan have been divided into three equal dir=rtl align=center Keywords : Decision Support Systems, Land use, Optimization, Linear programming, AHP, Farfahan.