Optimizing Search and Rescue Personnel Allocation in Disaster Emergency Response using Fuzzy Logic
Several models have been developed to facilitate decision-making in disaster management, especially in relation to emergency resource allocations. These models are required in order for search and rescue personnel to operate efficiently. However, in Indonesia, in general, technology has not been...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2019-11-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/3709 |
| Summary: | Several models
have been developed to facilitate decision-making in disaster management,
especially in relation to emergency resource allocations. These models are
required in order for search and rescue personnel to operate efficiently.
However, in Indonesia, in general, technology has not been used to help make
decisions during the response phase; rather, these decisions are still made
subjectively. This paper presents a decision-making model that helps search and
rescue teams determine the number of personnel to deploy. Therefore, it
streamlines the allocation of personnel in a search area, and it determines the
number of personnel that are needed based on the area, population density, equipment, and the number of high
buildings. Then, those variables are processed using a fuzzy expert system and
a decision tree. The data and knowledge acquired as a reference were obtained
from disaster management experts as well as experienced practitioners in the
field of Search and Rescue. |
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| ISSN: | 2086-9614 2087-2100 |