From the time of human life until now, disasters have had a negative impact on human life; In response, individuals and communities are trying to mitigate the consequences of these disasters and establish scales to assess the initial effects; Also respond to the post-disaster needs and return to baseline. To address these challenges and, as a result, improve the quality of life in cities and metropolises, the need for long-term planning and decision-making in solving these problems is more necessary than ever. Therefore, dealing with new urban theories, each with the aim of solving urban problems, improving the quality and quantity of life of citizens in cities, improving the quality of the city environment, city management, advancing the city to become more desirable, and so on. , Is more important than ever. In recent decades, to solve these challenges and reduce its effects on metropolises and large cities, various solutions and perspectives have been proposed, one of which is to pay attention to the concept of resilient city. The present study is descriptive. - It is analytical and practical in terms of purpose. The statistical population of this study consisted of experts and professors familiar with the topics of the city. 35 university professors and experts in the field of research determined the sample size intended to complete the questionnaire. The results of this study showed that the criterion of physical characteristics of tissue with the highest D-R value (0.672) is at the top of the chart and shows that this criterion is the most effective criterion. Also, based on the calculated D + R value, the building quality criterion is the most important criterion. Also, the urban infrastructure criterion was considered as the most influential criterion due to the fact that it has the lowest D-R value.

Cities are dramatically turning into complex social, economic, and environmental systems. Each urban system is vulnerable when it can not adapt to its changing conditions and critical situations. Therefore, in recent decades, natural disaster response approaches have introduced a new concept of urban resilience to prepare for disaster as much as possible. Is. Despite the recent attention and the abundant use of the concept of resilience in different areas of theoretical and practical limitations of this concept, this study aims to explain the causal pattern of resilience of cities. The present research is based on the descriptive-causal methodology. The statistical sample of the study was compiled by 35 experts and specialists in urban planning. Fuzzy Dumbled Fan was used to achieve the research goal. The findings of this study showed that based on the values ​​of D-R, among the four metrics of urban resilience, the physical criterion with the value (0.943) was the most effective measure of resilience in the city. Also, based on the D + R values, the physical criterion with the value of (896/2) was identified as the most important resiliency criterion in the city.

Urbanization and increase in urban population as a result of the natural increase in population and rural-urban migration, has led to the concentration of the highest material and spiritual human capitals in these urban settlements. At the same time, various natural and human crises threaten these capitals. Urban management has undertaken various programs to deal with these crises, and the latest approach in this regard is to increase the resilience of cities. The concept of resilience can be discussed in various physical, economic, social and environmental dimensions. The present study with a descriptive-analytical approach and with the aim of assessing the physical resilience of Tabriz metropolitan areas and determine their status relative to each other. For this purpose, multi-criteria decision making methods (MADM) and hierarchical analysis process (AHP) have been used. Also, 3 models of TOPSIS, VIKOR and COPRAS have been used to rank regions in terms of physical resilience. Finally, the Copeland model was used to combine the results of the mentioned models. The results show that regions 2, 8 and 9 jointly have the highest physical resilience. In the next ranks are regions 1, 10, 3, 7, 5, 4 and finally region 6, respectively.