Cities are complicated and interdependent systems that are very vulnerable to natural disasters. Climate change, which is nowadays considered as one of the most common scientific and even socio-political topics, considered also as one of the source of natural disasters. Assessing the urban resilience to climate change is a way to examine the ability of urban areas to withstand the negative effects of climate variability before, during and after the event. In this research, the resilience of 15 Isfahan urban districts to climate change in three ecological, physical and social components was evaluated. 12 indicators such as green space, density of residential areas, people's literacy level were selected through the Delphi technique and literature review. After selecting the indicators, the values of each indicator were normalized between zero to one using the min-max normalization method. Then, the Fuzzy AHP improved algorithm method was applied for weighting the indicators and components based on the experts' opinions. Before determining the weight of the indicators, the consistency ratio of the comparisons was calculated using the Gogus and Boucher method, and since the consistency ratio in each of the matrices was less than 0.1, it ensured that there was consistency between the comparisons. Composite index was used to combine indicators and components in to a single measuring the resilience of different urban districts to climate change. For constructing the composite index of resilience, the indicators were combined using weighted linear combination method and the degree of resilience of ecological, physical and social components to climate change was determined in each of the fifteen urban districts of Isfahan, then the final resilience of each district was also determined by the same method. According to the results, the 4th urban district had the most and the 14th and 8th districts had the least amount of climate change in different regions of the city of Isfahan respectively. Other districts had also roughly moderate resilience to climate change, with no significant difference in terms climate change resilience. Keywords: Resilience evaluation , Fuzzy AHP improved algorithm, Delphi technique , Composite index, Fifteen urban districts of Isfahan