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Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
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Decision Aid Models for Disaster Management and Emergencies (Hardcover, 2013 ed.)
Loot Price: R4,040
Discovery Miles 40 400
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Decision Aid Models for Disaster Management and Emergencies (Hardcover, 2013 ed.)
Series: Atlantis Computational Intelligence Systems, 7
Expected to ship within 10 - 15 working days
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Disaster management is a process or strategy that is implemented
when any type of catastrophic event takes place. The process may be
initiated when anything threatens to disrupt normal operations or
puts the lives of human beings at risk. Governments on all levels
as well as many businesses create some sort of disaster plan that
make it possible to overcome the catastrophe and return to normal
function as quickly as possible. Response to natural disasters
(e.g., floods, earthquakes) or technological disaster (e.g.,
nuclear, chemical) is an extreme complex process that involves
severe time pressure, various uncertainties, high non-linearity and
many stakeholders. Disaster management often requires several
autonomous agencies to collaboratively mitigate, prepare, respond,
and recover from heterogeneous and dynamic sets of hazards to
society. Almost all disasters involve high degrees of novelty to
deal with most unexpected various uncertainties and dynamic time
pressures. Existing studies and approaches within disaster
management have mainly been focused on some specific type of
disasters with certain agency oriented. There is a lack of a
general framework to deal with similarities and synergies among
different disasters by taking their specific features into account.
This book provides with various decisions analysis theories and
support tools in complex systems in general and in disaster
management in particular. The book is also generated during a
long-term preparation of a European project proposal among most
leading experts in the areas related to the book title. Chapters
are evaluated based on quality and originality in theory and
methodology, application oriented, relevance to the title of the
book.
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