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DOI: 10.14569/IJACSA.2024.0151278
PDF

Risk Assessment for Geological Exploration Projects Based on the Fuzzy-DEMATEL Method

Author 1: Zhenhua Yang
Author 2: Hua Shi
Author 3: Ning Tian
Author 4: Juan Bai
Author 5: Xiaoyu Han

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 12, 2024.

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Abstract: This paper briefly introduces the analytic hierarchy process (AHP) method and uses the fuzzy decision-making and trial evaluation laboratory (DEMATEL) method to adjust the index weight in it. The geological exploration project of Qingdao undersea tunnel project in Shandong Province was selected as the subject of case study. Firstly, the fuzzy-DEMATEL method was used to analyze the degree of influence between different risk factors in the project and the types of risk factors. Then, the AHP method divided the risk factors and calculated their weight. Finally, the influence parameters calculated by the fuzzy-DEMATEL method was employed to adjust the weight of the indicators in the AHP method. The fuzzy-DEMATEL analysis obtained the driving, conclusion, and transitional risk factors. It was found from the analytic results of the AHP method that the construction supervision unit’s qualification risk, management mechanism, and awareness risk had the greatest impact on the risk of the project, and the overall risk level of the project was 2.1 points.

Keywords: Geological exploration project; analytic hierarchy process; DEMATEL; fuzzy theory; risk assessment

Zhenhua Yang, Hua Shi, Ning Tian, Juan Bai and Xiaoyu Han, “Risk Assessment for Geological Exploration Projects Based on the Fuzzy-DEMATEL Method” International Journal of Advanced Computer Science and Applications(IJACSA), 15(12), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151278

@article{Yang2024,
title = {Risk Assessment for Geological Exploration Projects Based on the Fuzzy-DEMATEL Method},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151278},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151278},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {12},
author = {Zhenhua Yang and Hua Shi and Ning Tian and Juan Bai and Xiaoyu Han}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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