Fusion Methodologies in Crisis Management
-15%
portes grátis
Fusion Methodologies in Crisis Management
Higher Level Fusion and Decision Making
Rogova, Galina; Scott, Peter
Springer International Publishing AG
03/2018
549
Mole
Inglês
9783319794082
15 a 20 dias
Descrição não disponível.
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.
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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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
