Abstract Considering the attitudes towards land use planning and industrial development strategies, different sites are organized for centralization of industrial units as estates or complexes. It is complicated and difficult to optimally make decision, considering a large quantity of the input data and various conditions affecting it. Geographical Information System (GIS) is able to provide the decision-makers with appropriate tools for removing the problems and complexities of site selection process. Spatial functions allow selection of an optimum site by using input maps through aggregated operators. These functions are categorized into various groups such as Boolean, Index overlay, Fuzzy logic, Genetic and Weighted evidence, with respect to their action. So, it is necessary to determine appropriate aggregated functions for designing and implementing an applied GIS for selecting an optimum industrial estate. In this paper, first, conditions and factors influencing site selection for industrial estates are determined and made ready for being entered into aggregated functions. Then, properties and action of Index Overlay, Fuzzy, Genetic and Weighted evidence models are evaluated for functional efficiency and accuracy of output results. Finally, considering the results obtained from different stages, the appropriate model is determined and desirable user interface is developed.

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