Fusion Methodologies in Crisis Management

Preface.- Part I Information fusion, decision making, and crisis management.- Crisis management definitions, characteristics.- The role of fusion in designing crisis management systems.- Higher level fusion processing requirements.- General higher level fusion architecture.-  Information exchange and human-computer interaction.- Context in situation management, situation assessment, and decision making.- The evolving role of social media in crisis management.- Supplemental domain specific models.- Part II Methods of crisis domain representation.- Ontological analysis of data, situations and threat.- Ontological analysis of users’ goals, functions, hypotheses.- Cognitive methods and information requirements to support reasoning about data, situations and threat.- Part III Uncertainty representation.- Qualitative methods.- Qualitative methods.- Part IV Information quality and fusion processes.- Information quality ontology.- Quality representation.- Methods of quality control in reasoning and decision support.- Part V Computational approaches to reasoning about situations and threat.- Method for anomaly detection.- Situation calculus.- Belief networks.- Valuation networks.- Influence diagrams.- Case-based reasoning.- Argumentation under uncertainty.- Ontology-based reasoning.- Part VI Decision making for situation management.- The Von Neumann - Arrow framework.- Limits to Maximum Expected Utility theory.- Modern qualitative methods.- Quantitative methods.- Extreme events and decision making.- 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.