@article{jbms2020813,
author={{Banisakher, Mubarak and Adams, Marwan Omar, Sang Hong, Joshua},
title={A Human Centric Approach to Data Fusion in Post-Disaster Management},
journal={Journal of Business and Management Sciences},
volume={8},
number={1},
pages={12--20},
year={2020},
url={http://pubs.sciepub.com/jbms/8/1/3},
issn={2333-4533},
abstract={Providing full and accurate information is crucial to the post-disaster management to enable the affected people access and obtain the resources needed, in a timely manner. An effective post-disaster management system (PDMS) has to ensure distribution of emergency resources, such as hospital, storage and transportation in a reasonable time so that affected papulation are properly benefited from it during the post-disaster period. In this paper we describe the overall approach to this research survey paper, to include, the different technologies, models, information systems and strategies presented by different researchers as the result of their work. The need for careful PDMS field analysis, searching ways for individuals to obtain necessary resources from PDMS and how a high-quality platform and intelligent models can be provided to acquire the most efficient information for decision-making in post-disaster situations. Examples are given of the research in: techniques for data collection and generation, modeling of hospital decision-making operations, and initial IF-THEN rule based concepts. We believe that this study is unique because it has used classification that has classified this survey in relation to the importance of technologies and the scientific ways on how to manage disasters.},
doi={10.12691/jbms-8-1-3}
publisher={Science and Education Publishing}
}