The effective monitoring and mitigation of increasing natural and human-induced hazards worldwide need comprehensive decision-making tools for which Multi-Criteria Decision-Making (MCDM) is considered a meaningful tool. In this chapter, an effort has been made to explore the relevancy and application of MCDM models while assessing and monitoring hazards in a spatiotemporal context. This chapter includes the relevant MCDM models applicable for monitoring hazards like tropical cyclones, earthquakes, and floods, viz., AHP, ANP, TOPSIS, VIKOR, SAW, and CoCoSo. A discussion has also been included in this chapter on how integrating Geographical Information Systems (GIS) with MCDM models enhances the decision-making process for assessing, monitoring, and mitigating hazard events. It also discusses how emerging technologies like AI and machine learning (ML) can make decision-making processes more precise in real-time situations. Despite several challenges, like the paucity of authentic and updated data, the dynamic nature of hazards in spatiotemporal contexts, etc., MCDM models are being considered the most effective tool for monitoring and mitigating the vulnerability of any hazard event. The current chapter highlights the increasing potentiality of MCDM models for making a better decision by stakeholders and planners while assessing, monitoring, and mitigating the vulnerability of natural and man-made hazards.