جستجوی مقالات مرتبط با کلیدواژه « tree fuzzy modeling » در نشریات گروه « جغرافیا »

Determining the per capita green space depends largely on bioclimatic characteristics of the region and the city. According to the Department of Housing and Urban Development studies, per capita urban green spaces in cities between 7 to 12 square meters per person for leisure, play, and recreation. Today usually optimal balance between green space and open areas between urban networks and natural patterns are seen less land. This may cause certain global environmental problems such as formation of urban heat islands Green space plays a decisive role. The city of Hafsjand is one of the cities that does not have the proper distribution of green space, and some of its neighborhoods lack green space. In order to determine the optimal location for creating green space to the principles of centralization, hierarchy and follow access. After collecting the location data and maps and a database in GIS environment Large and Small fuzzy functions and Boolean functions of each standardized criterion. With appropriate weighting and overlapping the layers of phase, phase modulation was conducted and it was found appropriate places Finally grounds that they are very good degree of appropriateness have been selected to create green space. This places close to population centers, training, networking, and other parameters such as green space, with the proper distance.

Determining the per capita green space depends largely on bioclimatic characteristics of the region and the city. According to the Department of Housing and Urban Development studies, per capita urban green spaces in cities between 7 to 12 square meters per person for leisure, play, and recreation. Today usually optimal balance between green space and open areas between urban networks and natural patterns are seen less land. This may cause certain global environmental problems such as formation of urban heat islands Green space plays a decisive role. The city of Hafsjand is one of the cities that does not have the proper distribution of green space, and some of its neighborhoods lack green space. In order to determine the optimal location for creating green space to the principles of centralization, hierarchy and follow access. After collecting the location data and maps and a database in GIS environment Large and Small fuzzy functions and Boolean functions of each standardized criterion. With appropriate weighting and overlapping the layers of phase, phase modulation was conducted and it was found appropriate places Finally grounds that they are very good degree of appropriateness have been selected to create green space. This places close to population centers, training, networking, and other parameters such as green space, with the proper distance.