Dempster-Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review

The frequency and unpredictability of natural disasters pose serious challenges to emergency management in modern society. Effective emergency management requires not only rapid response, but also accurate assessment of the situation, rational allocation of resources and scientific decision-making. Dempster-Shafer theory (DST), as a powerful information fusion tool, has been widely used in natural disaster emergency management in recent years. This study sorted out the core related articles of DST in various directions in the field of natural disaster emergency management, and formed a systematic literature review. In order to support and guide the completion of this work, keywords were selected according to the rules of Systematic literature review (SLR) and the requirements of article content research to screen and determine the literatures. On this basis, relevant information of the selected literatures was analyzed, including authors, institutions, countries, keywords, etc. Then, according to the theoretical framework of integrated emergency management, fifteen structured research questions are put forward, involving various aspects of integrated emergency management system, and these questions are answered in detail. After that, it discussed the literature, and summarized the contribution and future development direction of DST based on information fusion in natural disaster emergency management. The final results show that in the field of natural disaster emergency management, DST plays various and important roles, among which one of the most important roles is the integration of decision-making evidence at various stages of disasters, so as to make better decisions. By combining with other methods, DST improves its limitations. And in the process to expand their scope of use. Then, it focuses on how to solve the extended theory, practical application dimension and related defects of DST in the field of natural disaster emergency management.