Locating industrial cities by using Fuzzy Logic model (Case study: Mariwan industrial city)

The selection of appropriate site for determining industrial areas is one of the main important issues in regional development planning.In recent years, site selection studies have been come up as a key element playing role in the success and survival of industrial centers.Nowadays, the use of site-related data and the proper analysis of this data for appropriate site selection of industrial cities are considered important and has drawn a lot of attentions toward itself. Identifying factors and conditions influencing on Today, the appropriate use of location data and spatial analysis is important for using them in appropriate locating of industrial cities and has an increasing growth in the researches n locating the industrial cities and analyzing them, the present paper tries to identify appropriate sites for the establishment of industrial cities, to do so,11 significant factors were applied and Fuzzy Logic model was used for evaluating, modeling, and predicting appropriate areas for industrial cities. Next, each layer was Fuzzyin ARC GIS software according to Fuzzy membership functions and then Multiplication factor, the sum and different amount of fuzzy gamma were implemented on this layers.To select optimized fuzzy gamma, an analytical comparison was made on appropriate zones of the study area based on critical points with appropriate areas resulting from different amounts of gamma and it was identified that fuzzy gamma has the most conformity with the appropriate zones of the study area. Ultimately, the final map was classified into 5 classes and it was identified that 18.22 percent (36.07 square kilometer) and 66.01 percent of the area (130.69 square kilometer) fall into classes with the best and worst appropriateness’, respectively.According to the classified final map,it can be concluded that appropriate sites for industrial cities are located in the east and western-south of Marivan.