ABSTRACT
Disaster management is one of the most significant fields of study since it directly affects the quality of human life. One of the most important foundations of disaster management is responding to catastrophes in a way consistent with protecting residents’ lives from their effects. Due to the significance of intelligent disaster response systems, their performance must be assessed using criteria that quantify the usefulness of these systems in various circumstances. As with other decision-making difficulties, evaluating smart disaster response systems is one of the decision-making challenges that provide difficulty under unpredictable settings. To account for any ambiguity in the assessment process, this chapter presents an integrated framework for evaluating the performance of the smart disaster response system in an uncertain environment. Multi-criteria decision-making (MCDM) is used for the issue of performance assessment based on a set of criteria. This chapter presents a hybrid methodology for assessing smart disaster response systems. For the purpose of this task, we find the integration of the two methods, fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) and fuzzy Evaluation based on Distance from Average Solution (EDAS), which are very well-known approaches to prioritize the main dimensions and their sub-indicators and evaluate specific alternatives for an MCDM problem.
