The location of industrial area is a key factor in regional planning because this kind of decision has large social, economic and environmental impacts on any land. . Location decision making must consider a wide range of factors in order to coordinate socio-economic benefits and environmental sustainability. Site selection decision is a key decision for manufacturers. Sustainable development need to find a way for industrial establishment in order to minimize negative effects of industries. Actually industrial site selection is an important decision which effects sustainability of industrial activities and sustainable development. Site selection is a complicated decision and depends on lots of criteria, so site selection is a Multi Criteria Decision Analysis (MCDA). Multi-criteria decision Analysis is so useful for prioritizing different criteria and selecting the best option from possible options. In other word, considering complex problem is possible in Multi-criteria decision analysis by problem decomposition in to small elements. After considering small elements, these elements are gathered and show decision makers preferences. GIS can change selection factors and by using GIS, we can analysis constraints effects on numbers of suitable points. Isfahan is one of the most important industrial centers in Iran . Because of industrial development in this city, industrial establishment is limited to out of 50 kilometer radius around Isfahan . The present work describes two multi-criteria evaluation (MCE) methods, called Boolean logic and Weighted Linear Combination in GIS environment to evaluate the suitability of 50 Km radius around Isfahan for industrial establishment. At first by literature review and obtaining standards, industrial site selection, criteria are defined. These criteria are distance to water bodies, slope, distance to urban, distance to roads and railways, protected area, distance to industries, groundwater depth, distance to water supplies, distance to faults and current land uses. Then all criteria were imported in GIS with same format and were standardized. The relative importance weights of criteria estimated using Analytical Hierarchy Process (AHP), rating and ranking methods. Finally all criteria layers are aggregated by Boolean logic and Weighted Linear Combination. After the elimination of sites which do not have enough area for industries
