land use optimization using combination of fuzzy linear programming and multi objective land allocation methods (case study: chelgerdwatershed)

over the past few decades, several models such as the lp model have been used for managing watersheds and determining optimal cultivation pattern for agricultural planning. management and planning methods are the most important applied tools of management science for optimal allocating resources in order to gain the most profits in the different fields including natural resources, water resources. in this research, using optimization methods, a single objective fuzzy linear programming model was used to land use optimization and a multi objective optimization model for optimal allocation of resources. the results showed that the proposed combined model can be the base for correct management of resources and decrease the amount of soil erosion to 12 percent.also, the results indicated that under optimized condition, the area allocated to dry farming lands will decrease about 59% and the area of rangelands, irrigated agricultures, gardens and forest plantation will increase about 1%, 9%, 94% and 229% respectively. it is mentioned that the new produced model is a model which is compatible with social and economic condition of watershed and can apply for better use, conservation and rehabilitation of existent natural resources and can be introduce as model which is on the basis of environmental approach.