Recognition of the Components of Measuring the Amount of Depletion Deteioration in Qazvin City Using Fuzzy Logic and Integrating Multi-Criteria Decision Making Models and GIS

One of the major problems in the Iranian cities is distressed urban areas, which has been caused by population growth and the rapid development of urbanization in recent years; this has led cities to displacement of citizens and consequently displacement of important urban utilities from primary residential areas to new ones. Gradually, the initial housing cores have been in major problems and changes in terms of performance and fabrics which leads to distress and decline in life quality of the citizens. Distressed urban textures is one of the most important issues of urban spaces, which is cause Disorganization, imbalance, lack of proportion and disproportion witch is classified into two categories, relative distressed (fabric or performance) and complete distressed (fabric and performance). The subject of restructuring urban decay is one of important subjects in developing urban frameworks. According to studies, 20 percent of urban areas located in urban decays, and 30 percent of the urban population are living in urban decay Therefore, renovation, rehabilitation and repair of these textures along with new ones is one of the important concerns of urban managers. This research tries to improve gentrification in Iran by providing a spatial model, Therefore the Qazvin city has been studied as one of the most important and historic cities in Iran. The research method in this research is descriptive-analytical and all of the functional and physical standards affecting urban distressing are identified and defined based on library studies, documentation and field observation. Then, by considering the ANP and Topsis models and validating them, the most appropriate method for determining the significance of the criteria is introduced as well as the combination of multi-criteria decision making models with Geographic Information System (GIS) and fuzzy logic has been used to identify and grade distressed neighborhoods in Qazvin.
The results of the research indicate that the social and economic factors (functional) of residents in urban neighborhoods have a significant impact on the structure and erosion of the neighborhoods, so that the final distressed texture map of the model`s output shows us that In contrast to the distressed texture map in 1387 and 1389, by using three indicators of Microhardness, impenetrability and instability, about only 14 percent of Qazvin city is estimated distressed (504 hectares), by considering 22 functional and physical indicators In this study, the identified area of distressed texture was 1564 hectares in the form of 27 neighborhoods, in the other words 42.8 percent of ​​ Qazvin`s area (3647 hectares) which all these studies indicates low quality of life in about half of the city of Qazvin.