Abstract
Currently, the ever-increasing population growth coupled with the people’s tendency toward urbanization, especially in developing countries, has led to a number of environmental, economic, social, and security problems, to a point where continuation of the current trends is likely to prevent sustainable urban development. On the other hand, the passive defense has gained lots of attention in many countries in the recent past. And this is where the concept of smart cities emerges as an ideal solution for tackling the challenges of urbanization. In this research, we began by identifying the most significant factors of integrated crisis management in smart cities with a focus on passive defense, with the importance of each factor further evaluated. The results were then analyzed. In this work, data gathering was performed through a descriptive-analytic method based on library studies. The required qualitative data was collected by library studies by completing a checklist. Subsequently, numerical analyses were conducted using opinions from experts in the passive defense and smart cities studies. Afterward, an analytic hierarchical process (AHP) was utilized to appraise and rank different factors. Next, an adaptive neuro-fuzzy inference system (ANFIS) was coded in MATLAB R2021b, which ended up presenting an integrated model of crisis management in smart cities from the viewpoint of passive defense. Based on the AHP and ANFIS, our findings highlighted the importance of securing the internet of things (IoT), securing the environment, securing the network, network acceptance control, developing visualization software at the level of operating system