Shahid Beheshti University Advanced Environmental Sciences 3115-7173 8 1 2010 09 23 Protection Modeling of Manesht and Ghalarang Protected Areas Using Fuzzy logic Protection Modeling of Manesht and Ghalarang Protected Areas Using Fuzzy logic 94598 FA Mehdi Ghadimi .Sc. Student, Environment Management Engineering, Faculty of Natural Resources and Marine Sciences, University of Tarbiat Modares, Noor City, Mazandaran Province, Iran. Seyed Mohsen Hosseini Department of Forest Management Engineering, Faculty of Natural Resources and Marine Sciences, University of Tarbiat Modares, Noor City, Mazandaran Province, Iran. Hamid-Reza Pourghasemi M.Sc. Graduated Watershed Management Engineering, Faculty of Natural Resources and Marine Sciences, University of Tarbiat Modares, Noor City, Mazandaran Province, Iran. Hamid-Reza Moradi Department of Watershed Management Engineering, Faculty of Natural Resources and Marine Sciences, University of Tarbiat Modares, Noor City, Mazandaran Province, Iran. Journal Article 2015 05 17 Zoning in the management area of protected areas through the resolution of conflicts has decreased protected areas and necessary measures will need to be provided. The study area of this research was chosen with the aim of modeling and zoning Manesht and Ghalarang protected area with an area of 33000 ha in Ilam Province. In order to obtain the optimal protection model, fuzzy logic has been employed. For this purpose, field studies to identify and collect information were initially conducted. All the factors that have an effective role in protecting were collected and then analyzed using an analytical hierarchical process and the priority factors were classified. This study showed that the characteristics of slope, soil, geology, vegetation, erosion, land use and distance from the channel or river are related to the highest weight assigned to and therefore the main factor in effective protection in the region. These data were saved in the raster and vector format in ILWIS software and analysis based on Fuzzy set theory was used. Fuzzy analysis using the IDRISI software was made to determine the values and membership functions. In this study, different fuzzy operators such as Sum, Product and Gamma were used. The results showed that the fuzzy gamma operator with 975.0=l provided the highest value of modeling accuracy of the study area protection. Zoning in the management area of protected areas through the resolution of conflicts has decreased protected areas and necessary measures will need to be provided. The study area of this research was chosen with the aim of modeling and zoning Manesht and Ghalarang protected area with an area of 33000 ha in Ilam Province. In order to obtain the optimal protection model, fuzzy logic has been employed. For this purpose, field studies to identify and collect information were initially conducted. All the factors that have an effective role in protecting were collected and then analyzed using an analytical hierarchical process and the priority factors were classified. This study showed that the characteristics of slope, soil, geology, vegetation, erosion, land use and distance from the channel or river are related to the highest weight assigned to and therefore the main factor in effective protection in the region. These data were saved in the raster and vector format in ILWIS software and analysis based on Fuzzy set theory was used. Fuzzy analysis using the IDRISI software was made to determine the values and membership functions. In this study, different fuzzy operators such as Sum, Product and Gamma were used. The results showed that the fuzzy gamma operator with 975.0=l provided the highest value of modeling accuracy of the study area protection.

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