| 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.publisher | North Dakota State University | en_US |
| dc.rights | NDSU Policy 190.6.2 | |
| dc.title | A Decision Model for Emergency Response | en_US |
| dc.type | Master's paper | en_US |
| dc.date.accessioned | 2013-05-06T19:26:54Z | |
| dc.date.available | 2013-05-06T19:26:54Z | |
| dc.date.issued | 2013 | |
| dc.identifier.uri | http://hdl.handle.net/10365/22781 | |
| dc.subject.lcsh | Emergency management -- Decision making. | en_US |
| dc.subject.lcsh | Fuzzy decision making. | en_US |
| dc.subject.lcsh | Fuzzy logic. | en_US |
| dc.subject.lcsh | Computer software -- Development | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Computer Science | en_US |
| ndsu.program | Computer Science | en_US |
| ndsu.advisor | Nygard, Kendall | |
