The book emphasizes a contemporary view on the role of higher level fusion in designing crisis management systems, and provide the formal foundations, architecture and implementation strategies required for building dynamic current and future situational pictures, challenges of, and the state of the art computational approaches to designing such processes. This book integrates recent advances in decision theory with those in fusion methodology to define an end-to-end framework for decision support in crisis management. The text discusses modern fusion and decision support methods for dealing with heterogeneous and often unreliable, low fidelity, contradictory, and redundant data and information, as well as rare, unknown, unconventional or even unimaginable critical situations. Also the book examines the role of context in situation management, cognitive aspects of decision making and situation management, approaches to domain representation, visualization, as well as the role and exploitation of the social media. The editors include examples and case studies from the field of disaster management.
Table des matières
Part I Information fusion, decision making, and crisis management.- Part II Methods of crisis domain representation.- Part III Uncertainty representation.- Part IV Information quality and fusion processes.- Part V Computational approaches to reasoning about situations and threat.- Part VI Decision making for situation management.- Part VII Specific crisis scenarios in the domains of homeland security, epidemics, and natural disasters with application of the methods and processes discussed in the book.- Part VIII Challenges and future research directions for designing and integrating higher level fusion and decision making processes for crisis management.
A propos de l’auteur
Galina L. Rogova is a research professor at the State University of New York at Buffalo.
Peter Scott is an Associate Professor Emeritus at the Department of Computer Science and Engineering, University at Buffalo.
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