FRAME-TOPSIS Methods as a Technique for Fire Risk Assessment and Prioritizing Preventive Measures: A Case Study in the Isfahan School of Health Library

(2024) FRAME-TOPSIS Methods as a Technique for Fire Risk Assessment and Prioritizing Preventive Measures: A Case Study in the Isfahan School of Health Library. International Journal of Environmental Health Engineering. ISSN 22779183 (ISSN)

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Abstract

Aims: This study aimed to fire risk assessment and prioritize the preventive measures using a FRAME-TOPSIS method in the Isfahan School of Health Library. Methods: This descriptive-Analytical study was conducted in 2023. First, the FRAME method was used to calculate this risk score in three areas: individuals, buildings and their contents, and activities. Second, the Fuzzy Delphi method was used to identify the preventive measures. Finally, the TOPSIS method was applied to prioritize preventive measures. Excel 2019 was used for TOPSIS and Fuzzy Delphi, and FRAME was calculated by FRAME software. Results: The results of the FRAME method showed the risk levels of fire for the Isfahan School of Health Library were unacceptable in individuals (R = 1.04) and activities (R = 1.32). The TOPSIS method revealed that the most important control measures for reducing fire risk levels in the library are installing an automatic fire alarm (0.732), improving electrical safety (0.694), and use of fireproof partitions (0.660). Conclusion: The study library has identified a high level of risk, necessitating the thorough implementation of control measures. Moreover, the methodology presented in this study can be applied to other locations where fire safety is of paramount importance, including hospitals, buildings, and industries. © 2024 International Journal of Environmental Health Engineering.

Item Type: Article
Keywords: Assessment Delphi methods fires FRAME libraries risk TOPSIS
Journal or Publication Title: International Journal of Environmental Health Engineering
Journal Index: Scopus
Volume: 13
Number: 5
Identification Number: https://doi.org/10.4103/ijehe.ijehe₄₉₂₃
ISSN: 22779183 (ISSN)
Depositing User: خانم ناهید ضیائی
URI: http://eprints.mui.ac.ir/id/eprint/30638

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