A COMPARATIVE ANALYSIS WITH THE BLACK BOX MODEL & DSS SYSTEM
https://doi.org /10.59982/18294359-24.15-ae-20
This article explores Decision Support Systems (DSS) in emergency management and scrutinizes the mathematical and technological perspectives of DSS. It focuses on how these DSS handle uncertainty, manage resources, and make choices during emergencies. Some features that distinguish them as strong are data analysis as well as coping with ambiguity, while other characteristics include things like real-time monitoring and visualization of data. At the same time, there are certain obstacles to their implementation, such as inadequate data generation or refusal by users. Therefore, instances from real life based on various kinds of disaster-stricken zones are illustrated in this research work. Also, we will find out the interconnection term in Emergency DSS in Uncertainty. It explores the Black Box model and designs the main processes in Emergency DSS in Uncertainty. This work analyzes quantitative adaptation, modeling and optimization, iterative improvement, mathematical formulation, system analysis utilities, and system modeling in dynamic cases.
Keywords: Uncertainty, Emergency situations, Risk assessment, Emergency Decision analysis, Black Box management
PAGES : 192-199