Mohammadi_Helia.pdf (1.5 MB)
iFAST: An Intelligent Fire-Threat Assessment and Size-Up Technology for First Responders
thesis
posted on 2021-05-23, 09:33 authored by Helia MohammadiCurrently, emergency response agencies use simplified “one-size-fits-all” procedures to decide what quantity and type of resources to dispatch to each fire threat. These procedures are based on principles established decades ago, and are generally static in nature. They then rely on the judgment of the experienced officer who has arrived on-scene to make a dynamic evaluation and request additional units if appropriate. In this thesis, we propose a fuzzy expert system to enhance the assessment procedures.
History
Language
engDegree
- Master of Science
Program
- Computer Science
Granting Institution
Ryerson UniversityLAC Thesis Type
- Thesis