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iFAST: An Intelligent Fire-Threat Assessment and Size-Up Technology for First Responders

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thesis
posted on 23.05.2021, 09:33 authored by Helia Mohammadi
Currently, 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

eng

Degree

Master of Science

Program

Computer Science

Granting Institution

Ryerson University

LAC Thesis Type

Thesis