Occupational Health and Safety Risk Assessment of Cruise Ship Construction Based on Improved Intuitionistic Fuzzy TOPSIS Decision Model
The logistics of cruise ship construction are complex, with an extended period, many participants, and a stringent node control. The resulting occupational health and safety risks have more risks and uncertainties. If it is not identified and controlled, it will lead to low efficiency of logistics m...
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| Veröffentlicht in: | Mathematical problems in engineering 2021, Vol.2021, p.1-13 |
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| description | The logistics of cruise ship construction are complex, with an extended period, many participants, and a stringent node control. The resulting occupational health and safety risks have more risks and uncertainties. If it is not identified and controlled, it will lead to low efficiency of logistics management in the construction stage, leading to chain breaking and going out of control. In response to this situation, this article proposes an improved intuitionistic fuzzy TOPSIS decision model to evaluate occupational health and safety risks in cruise ship construction. First, based on field research and interviews, risk sources and risk evaluation criteria are determined, and experts are given different weights based on the relative importance of decision-making experts. Then, to reduce the ambiguity and uncertainty of the risk source information, the intuitionistic fuzzy weighted arithmetic average operator is used to aggregate the judicial opinions of experts to obtain the intuitionistic fuzzy aggregate decision risk matrix. To improve the accuracy of risk assessment results, subjective weight and objective weight are comprehensively considered. The stepwise weight assessment ratio analysis (SWARA) method is used to determine the subjective weight of the evaluation criteria, and the normal distribution method is used to determine the objective weight of the evaluation criteria. According to the relative closeness coefficient of each risk source to the positive-ideal solution, the ranking of the risk sources is obtained. Finally, taking a cruise ship construction as an example, the risk sources of occupational health and safety are sorted, sensitivity analysis is carried out and compared with other methods, and the targeted risk control measures are put forward, which verifies the effectiveness and correctness of the improved intuitionistic fuzzy TOPSIS decision model. |
| doi_str_mv | 10.1155/2021/5966711 |
| format | Article |
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The resulting occupational health and safety risks have more risks and uncertainties. If it is not identified and controlled, it will lead to low efficiency of logistics management in the construction stage, leading to chain breaking and going out of control. In response to this situation, this article proposes an improved intuitionistic fuzzy TOPSIS decision model to evaluate occupational health and safety risks in cruise ship construction. First, based on field research and interviews, risk sources and risk evaluation criteria are determined, and experts are given different weights based on the relative importance of decision-making experts. Then, to reduce the ambiguity and uncertainty of the risk source information, the intuitionistic fuzzy weighted arithmetic average operator is used to aggregate the judicial opinions of experts to obtain the intuitionistic fuzzy aggregate decision risk matrix. To improve the accuracy of risk assessment results, subjective weight and objective weight are comprehensively considered. The stepwise weight assessment ratio analysis (SWARA) method is used to determine the subjective weight of the evaluation criteria, and the normal distribution method is used to determine the objective weight of the evaluation criteria. According to the relative closeness coefficient of each risk source to the positive-ideal solution, the ranking of the risk sources is obtained. Finally, taking a cruise ship construction as an example, the risk sources of occupational health and safety are sorted, sensitivity analysis is carried out and compared with other methods, and the targeted risk control measures are put forward, which verifies the effectiveness and correctness of the improved intuitionistic fuzzy TOPSIS decision model.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2021/5966711</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Construction accidents & safety ; Criteria ; Cruise ships ; Decision making ; Fuzzy sets ; Literature reviews ; Logistics management ; Mathematical analysis ; Mathematical problems ; Normal distribution ; Occupational health ; Occupational safety ; Risk assessment ; Risk management ; Safety management ; Sensitivity analysis ; Set theory ; Shipbuilding ; Uncertainty ; Weight ; Workloads</subject><ispartof>Mathematical problems in engineering, 2021, Vol.2021, p.1-13</ispartof><rights>Copyright © 2021 Xiang Ziquan et al.</rights><rights>Copyright © 2021 Xiang Ziquan et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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To improve the accuracy of risk assessment results, subjective weight and objective weight are comprehensively considered. The stepwise weight assessment ratio analysis (SWARA) method is used to determine the subjective weight of the evaluation criteria, and the normal distribution method is used to determine the objective weight of the evaluation criteria. According to the relative closeness coefficient of each risk source to the positive-ideal solution, the ranking of the risk sources is obtained. 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The resulting occupational health and safety risks have more risks and uncertainties. If it is not identified and controlled, it will lead to low efficiency of logistics management in the construction stage, leading to chain breaking and going out of control. In response to this situation, this article proposes an improved intuitionistic fuzzy TOPSIS decision model to evaluate occupational health and safety risks in cruise ship construction. First, based on field research and interviews, risk sources and risk evaluation criteria are determined, and experts are given different weights based on the relative importance of decision-making experts. Then, to reduce the ambiguity and uncertainty of the risk source information, the intuitionistic fuzzy weighted arithmetic average operator is used to aggregate the judicial opinions of experts to obtain the intuitionistic fuzzy aggregate decision risk matrix. To improve the accuracy of risk assessment results, subjective weight and objective weight are comprehensively considered. The stepwise weight assessment ratio analysis (SWARA) method is used to determine the subjective weight of the evaluation criteria, and the normal distribution method is used to determine the objective weight of the evaluation criteria. According to the relative closeness coefficient of each risk source to the positive-ideal solution, the ranking of the risk sources is obtained. 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| subjects | Construction accidents & safety Criteria Cruise ships Decision making Fuzzy sets Literature reviews Logistics management Mathematical analysis Mathematical problems Normal distribution Occupational health Occupational safety Risk assessment Risk management Safety management Sensitivity analysis Set theory Shipbuilding Uncertainty Weight Workloads |
| title | Occupational Health and Safety Risk Assessment of Cruise Ship Construction Based on Improved Intuitionistic Fuzzy TOPSIS Decision Model |
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