Health Risk Assessment in Building Environments Using Fuzzy Topsis Method
الموضوعات :
eghbal sekhavati
1
,
Reza jalilzadeh yengejeh
2
1 - Department of Environmental Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
2 - Department of Environmental Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, IRAN
الکلمات المفتاحية: Risk Evaluation, Fuzzy TOPSIS, Building, Safety Insight,
ملخص المقالة :
The use of mathematical methods for risk assessment is an important instrument to control health risks. This research is performed to discuss the status of health risks of Larestan city. For this reason, the fuzzy Topsis method was used and firstly, four health risks insights including (safety insight, safety performance, comprehend risk, and evaluation risk) were discussed. According to results due to workers’ insight into health risk status which was obtained by experts, four scales are offered which were used to optimize factory risk for effective factors. The results showed that, the threshold value for risk evaluation was estimated as 0.86, 0.726. The most suitable transmission variable is determined as risk evaluation, on the other side; it was a suitable pattern for risk transmission evaluation (t) for mild regression with LFUZZY TOPSIS. The findings help managers of occupations to reduce health potential risks and provide new insights to solve uncertainties in management and control potential risks.
Abbasinia, M., & Mohammadfam, I. (2022). Identifying, evaluating, and prioritizing the causes of occupational accidents in the construction industry using fuzzy AHP and fuzzy TOPSIS. Work, 72(3), 933-940.
Bai, N., Khazaei, M., van Eeden, S. F., & Laher, I. (2007). The pharmacology of particulate matter air pollution-induced cardiovascular dysfunction. Pharmacology & therapeutics, 113(1), 16-29.
Basahel, A., & Taylan, O. (2016). Using fuzzy AHP and fuzzy TOPSIS approaches for assessing safety conditions at worksites in construction industry. International Journal of Safety and Security Engineering, 6(4), 728-745.
Cho, J., Choi, Y. J., Suh, M., Sohn, J., Kim, H., Cho, S. K., ... & Shin, D. C. (2014). Air pollution as a risk factor for depressive episode in patients with cardiovascular disease, diabetes mellitus, or asthma. Journal of affective disorders, 157, 45-51.
Fataei, E. (2014). Feasibility Study of Border Industrial Town Using AHP and TOPSIS. Geography and Development, 12(37), 181-194.
Fataei, E. (2020). The Assessment of Environmental and Health Risks in Sabalan Dam Basin Using WRASTIC Model. Journal of Health, 11(4), 555-73.
Fataei, E., Torabian, A., Hosseinzadeh Kalkhoran, M., Alighadri, M., & Hosseinzadeh, S. (2013). Selection of Optimum Municipal Wastewater Treatment Process Using AHP (Case Study: Ardebil, Tabriz, and Uremia). Journal of Health, 4(3), 260-272.
Fazeli, S., Abdollahi, N., Imani Marrani, H., Malekizade, H., & Hosseinzadeh, H. (2019). A new robust adaptive decentralized tube model predictive control of continuous time uncertain nonlinear large-scale systems. Cogent Engineering, 6(1), 1680093.
Gazijahani, F. S., Hosseinzadeh, H., Tagizadeghan, N., & Salehi, J. (2017, 19-20 April 2017). A new point estimate method for stochastic optimal operation of smart distribution systems considering demand response programs. Paper presented at the 2017 Conference on Electrical Power Distribution Networks Conference (EPDC).
Golbabaei, F., Azar, A., & Ganji Kazemian, M. (2014). Designing a model for selection of air pollution control equipment using fuzzy logic. Journal of Health and Safety at Work, 4(2), 37-50.
Gul, M., & Ak, M. F. (2018). A comparative outline for quantifying risk ratings in occupational health and safety risk assessment. Journal of cleaner production, 196, 653-664.
Gul, M., Guneri, A. F., & Baskan, M. (2018). An occupational risk assessment approach for construction and operation period of wind turbines. Global Journal of Environmental Science and Management, 4(3), 281-298.
Gumus, A. T. (2009). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert systems with applications, 36(2), 4067-4074.
Hadi Bonab, S., Abazari, R., Bagheri Vakilabad, A., & Hosseinzadeh, H. (2020). Generalized metric spaces endowed with vector-valued metrics and matrix equations by tripled fixed point theorems. Journal of Inequalities and Applications, 2020, 1-16.
Haimes, Y. Y. (2005). Risk modeling, assessment, and management. John Wiley & Sons.
Hassanpour Kourandeh, H., & Fataei, E. (2013). Risk assessment of pollution accidents in dam reservoirs, Using WRASTIC Model (Case study: Shafarood Dam, Guilan, Iran).
Hosseinzadeh, H., Jabbari, A., & Razani, A. (2013). Fixed-Point Theorems and Common Fixed-Point Theorems on Spaces Equipped With Vector-Valued Metrics. Ukrainian Mathematical Journal, 65(5), 814-822. doi:10.1007/s11253-013-0819-1
Jassbi, J., Nouri, J., Abbaspour, M., Varshosaz, K. and Jafarzadeh, N., 2009. Environmental impact assessment modeling in an urban man-made lake using fuzzy logic. Journal of Food, Agriculture & Environment, 7(3).
Jassbi, J., Nouri, J., Abbaspour, M., Varshosaz, K., & Jafarzadeh, N. (2009). Environmental impact assessment modeling in an urban man-made lake using fuzzy logic. Journal of Food, Agriculture & Environment, 7(3).
Kazemi, A., & Aboutaleb, S. (2013). Presenting a multi-objective mathematical optimization model for classification in data mining. International Journal of Industrial Engineering, 23(4), 485-501.
Khajeh Hoseini, L., Jalilzadeh Yengejeh, R., Mohammadi Rouzbehani, M., & Sabzalipour, S. (2022). Health risk assessment of volatile organic compounds (VOCs) in a refinery in the southwest of Iran using SQRA method. Frontiers in Public Health, 10, 978354.
Khayat, N., & Nasiri, H. (2023). Study of Strength Characteristics and Micro-structure Analysis of Soil Stabilized with Wastewater and Polymer. International Journal of Pavement Research and Technology, 1-12.
Koulinas, G. K., Demesouka, O. E., Marhavilas, P. K., Vavatsikos, A. P., & Koulouriotis, D. E. (2019). Risk assessment using fuzzy TOPSIS and PRAT for sustainable engineering projects. Sustainability, 11(3), 615.
Krohling, R. A., & Campanharo, V. C. (2011). Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea. Expert Systems with applications, 38(4), 4190-4197.
Lin, S. S., Zhou, A., & Shen, S. L. (2023). Safety assessment of excavation system via TOPSIS-based MCDM modelling in fuzzy environment. Applied Soft Computing, 138, 110206.
Maghsoodi, A. I., & Khalilzadeh, M. (2018). Identification and evaluation of construction projects’ critical success factors employing fuzzy-TOPSIS approach. KSCE Journal of Civil Engineering, 22, 1593-1605.
Mahdevari, S., Shahriar, K., & Esfahanipour, A. (2014). Human health and safety risks management in underground coal mines using fuzzy TOPSIS. Science of the Total Environment, 488, 85-99.
Mogaji, K. A., & Atenidegbe, O. F. (2023). Development of PROMETHEE-Entropy data mining model for groundwater potentiality modeling: a case study of multifaceted geologic settings in south-western Nigeria. Acta Geophysica, 1-28.
Mostofie, N., Fataei, E., & Hezhabrpour Gh, K. Z. M. (2014). Assessment centers and distribution centers dust(case study: NorthWest, Iran). International Journal of Farming and Allied Sciences, 3(2), 235-243.
Nami, D., Fataei, E., Nejaei, A., & Zaeimdar, M. (2017). Evaluation of environmental potential in Parsabad, Moghan for urban development using GIS and AHP. Journal of Environmental Science and Technology, 19(5), 475-486.
Pinto, A., Nunes, I. L., & Ribeiro, R. A. (2011). Occupational risk assessment in construction industry–Overview and reflection. Safety science, 49(5), 616-624.
Rahim, A. A., Musa, S. N., Ramesh, S., & Lim, M. K. (2021). Development of a fuzzy-TOPSIS multi-criteria decision-making model for material selection with the integration of safety, health and environment risk assessment. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 235(7), 1532-1550.
Satiarvand, M., Orak, N., Varshosaz, K., Cheraghi, M., & Mobarak Hassan, E. (2022). Quantitative Assessment of Risks Caused by Blowout in Yaran with Fuzzy Fault Tree Analysis. Archives of Occupational Health, 6(4), 1351-1362.
Sekhavati, E., & Jalilzadeh Yengejeh, R. (2021). Assessment optimization of safety and health risks using fuzzy TOPSIS technique (case study: construction sites in the South of Iran). Journal of Environmental Health and Sustainable Development, 6(4), 1494-1506.
Sekhavati, E., & Jalilzadeh, R. (2022). Optimizing the Risk of Building Environments Using Multi-Criteria Decision Making. Anthropogenic Pollution, 6(1), 1-7.
Sekhavati, E., & Yengejeh, R. J. (2023). Particulate matter exposure in construction sites is associated with health effects in workers. Frontiers in Public Health, 11, 1130620.
Su, G., & Deng, D. (2023). Regulatory requirements and optimization of multiple criteria decision analysis to quantify the benefit-risk assessment of medical devices. Expert Review of Medical Devices, 20(4), 273-281.
Tabari, M. R. R., Sabzalipour, S., Peyghambarzadeh, S. M., & Jalilzadeh, R. (2021). DISPERSION OF VOLATILE ORGANIC COMPOUNDS IN THE VICINITY OF PETROLEUM PRODUCTS STORAGE TANKS. Environmental Engineering & Management Journal (EEMJ), 20(7).
Torfi, S., Khayat, N., & Horpibulsuk, S. (2021). Sustainable stabilization of compacted clay using sodium alginate for subgrade application. International Journal of Geosynthetics and Ground Engineering, 7, 1-15.
Towoju, O. A., & Petinrin, M. O. (2023). Climate change mitigation with carbon capture: An overview . International Journal of Sustainable Energy and Environmental Research, 12(1), 1–9. https://doi.org/10.18488/13.v12i1.3327
Wungrath, J., Khumai, N., Sutan, P., Khonchob, P., & Jongpuk, M. (2022). Problems and Challenges related to Chiang Da Herbal Tea Community Enterprise, Doi Saket District, Chiang Mai Province, Thailand. Nurture, 16(1), 28–35. https://doi.org/10.55951/nurture.v16i1.112.
Yazdi, M. (2018). Risk assessment based on novel intuitionistic fuzzy-hybrid-modified TOPSIS approach. Safety Science, 110, 438-448.
