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A Decision Model for Emergency Response

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dc.contributor.author Chelaiah Rothimaswa, Ashok Kumar Vellaswamy
dc.description.abstract In the real world, emergencies occur at different places. The emergencies fall into three categories: a fire emergency, a medical emergency, and a police emergency. Different emergencies occur at different places at different times. An important problem in the real world is how emergency vehicles are efficiently dispatched. This paper concerns the design and development of a software tool for decision making in an emergency response. With this Emergency Response System (ERS) tool, we will treat all emergency vehicles as agents. For a fire emergency, we have a fire truck (one agent), for a medical emergency, we have an ambulance agent, and for a police emergency, we have a police-car agent. The emergencies are created at random locations. The ERS tool uses Fuzzy logic [1] to dispatch the vehicles efficiently. We assign the weights dynamically to all the response units. Based on those weight values, the tool assigns and dispatches the vehicles. en_US
dc.title A Decision Model for Emergency Response en_US
dc.date.accessioned 2013-05-06T19:26:54Z
dc.date.available 2013-05-06T19:26:54Z
dc.date.issued 2013-05-06
dc.identifier.uri http://hdl.handle.net/10365/22781
dc.date 2013 en_US
dc.thesis.degree Master of Science. en_US
dc.contributor.advisor Nygard, Kendall
dc.subject.course Master of Science / Computer Science, College of Science and Mathematics, 2013. en_US

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