Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting Method
Bridge safety during operating periods is a primary concern worldwide, and the evaluation of bridge risks is a critical aspect of ensuring bridge safety. The most common methods used for bridge risk evaluations include fuzzy comprehensive evaluations, grey system theory, fault tree analysis, the Ken...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/15/8964 |
| _version_ | 1797587033538953216 |
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| author | Xiantao Qin Xianlai Zha Zhongheng Wu Lei Zhang |
| author_facet | Xiantao Qin Xianlai Zha Zhongheng Wu Lei Zhang |
| author_sort | Xiantao Qin |
| collection | DOAJ |
| description | Bridge safety during operating periods is a primary concern worldwide, and the evaluation of bridge risks is a critical aspect of ensuring bridge safety. The most common methods used for bridge risk evaluations include fuzzy comprehensive evaluations, grey system theory, fault tree analysis, the Kent index method, and data envelopment analysis. However, these approaches are highly subjective and have uneven distributions when determining the weights of risk indicators. To improve the accuracy and feasibility of bridge risk evaluations for a given period of operation, we first establish bridge risk indicators and assign subjective weights to each indicator based on an analytic hierarchy process. Additionally, objective weights are assigned to each indicator according to an entropy weighting method. Then, the combined weights of each risk indicator are obtained by applying game theory principles. This enables the construction of a degree of membership matrix comprising these risk indicators, which is established according to an expert grading method and grey fuzzy theory. Finally, the evaluation results vector is calculated, allowing the risk level of a bridge to be assessed according to the principle of the maximum degree of membership. Overall, this study provides a more accurate and objective method for evaluating bridge risk during a given period of operation. |
| first_indexed | 2024-03-11T00:31:29Z |
| format | Article |
| id | doaj.art-91f30999108a4f249a1b92fe85574d84 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T00:31:29Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-91f30999108a4f249a1b92fe85574d842023-11-18T22:39:53ZengMDPI AGApplied Sciences2076-34172023-08-011315896410.3390/app13158964Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting MethodXiantao Qin0Xianlai Zha1Zhongheng Wu2Lei Zhang3School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430023, ChinaSchool of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430023, ChinaSchool of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430023, ChinaDepartment of Road and Rail, Hubei Communications Technical College, Wuhan 430079, ChinaBridge safety during operating periods is a primary concern worldwide, and the evaluation of bridge risks is a critical aspect of ensuring bridge safety. The most common methods used for bridge risk evaluations include fuzzy comprehensive evaluations, grey system theory, fault tree analysis, the Kent index method, and data envelopment analysis. However, these approaches are highly subjective and have uneven distributions when determining the weights of risk indicators. To improve the accuracy and feasibility of bridge risk evaluations for a given period of operation, we first establish bridge risk indicators and assign subjective weights to each indicator based on an analytic hierarchy process. Additionally, objective weights are assigned to each indicator according to an entropy weighting method. Then, the combined weights of each risk indicator are obtained by applying game theory principles. This enables the construction of a degree of membership matrix comprising these risk indicators, which is established according to an expert grading method and grey fuzzy theory. Finally, the evaluation results vector is calculated, allowing the risk level of a bridge to be assessed according to the principle of the maximum degree of membership. Overall, this study provides a more accurate and objective method for evaluating bridge risk during a given period of operation.https://www.mdpi.com/2076-3417/13/15/8964bridge riskanalytic hierarchyentropy weight methodgrey fuzzy theory |
| spellingShingle | Xiantao Qin Xianlai Zha Zhongheng Wu Lei Zhang Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting Method Applied Sciences bridge risk analytic hierarchy entropy weight method grey fuzzy theory |
| title | Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting Method |
| title_full | Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting Method |
| title_fullStr | Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting Method |
| title_full_unstemmed | Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting Method |
| title_short | Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting Method |
| title_sort | grey fuzzy comprehensive evaluation of bridge risk during periods of operation based on a combination weighting method |
| topic | bridge risk analytic hierarchy entropy weight method grey fuzzy theory |
| url | https://www.mdpi.com/2076-3417/13/15/8964 |
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