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Risk Assessment of Open-Pit Slope Based on Large-Scale Group Decision-Making Method Considering Non-Cooperative Behavior

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Abstract

Studying the stability of the open-pit mine slope and risk assessment is of great significance to the safety of the mine and guiding mining operations. The stability study and risk assessment of open-pit mine slopes are a multi-attribute decision-making (MADM) problem. Due to the rapid development of information technology, a large number of decision makers (DMs) are allowed to participate in the decision-making process, which is beneficial to improve the quality of decision-making. We proposed a large-scale multi-attribute group decision (LSMGDM) model based on intuitionistic fuzzy sets (IFSs) and applied this model to the study of slope stability and risk assessment in open-pit mines. Most existing LSMGDM methods assume that all alternatives are flawless. However, ensuring that all initial alternatives qualify is difficult. In addition, on the issue of LSMGDM, the opinions of some DMs may be very different from the collective opinions, but they are unwilling to make any revisions to the evaluation information. In order to improve the efficiency of the Consensus-Reaching Process (CRP), reasonable and effective management of the non-cooperative behavior of DMs is required. The main contributions of this work are as follows: (1) calculate the defect degree of each alternative with the TOPSIS method, give the method of modifying and perfecting the alternative, and give the corresponding algorithm description and operation steps. (2) A CRP model based on IFS is proposed. DMs were clustered using the intuitionistic fuzzy C-means clustering method. Then a method of identifying and managing non-cooperative behaviors based on IFS is proposed, and the corresponding algorithm description and operation steps are given. (3) An effective LSMGDM method is provided for slope stability research and risk assessment of open-pit mines. Finally, the feasibility and effectiveness of the method are verified by comparative analysis.

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Acknowledgements

This research was funded by the Open Research Fund Program of Data Recovery Key Laboratory of Sichuan Province (No. DRN2105, DRN19014 ); the Scientific Research Innovation Team of Neijiang Normal University (No. 2021TD04); the Scientific Research Project of Neijiang Normal University (No. 2021YB21); and the Application basic research project of Sichuan Province (No. 2021JY0108).

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Authors and Affiliations

  1. College of mathematics and physics, Chengdu University of Technology, Chengdu, 610059, People’s Republic of China

    Ju Wu & Hao Gong

  2. School of Mathematics and Information Sciences, Neijiang Normal University, Neijiang, 641000, Sichuan, People’s Republic of China

    Fang Liu & Yi Liu

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  1. Ju Wu
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  3. Fang Liu
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  4. Yi Liu
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Correspondence to Yi Liu.

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Wu, J., Gong, H., Liu, F. et al. Risk Assessment of Open-Pit Slope Based on Large-Scale Group Decision-Making Method Considering Non-Cooperative Behavior. Int. J. Fuzzy Syst. 25, 245–263 (2023). https://doi.org/10.1007/s40815-022-01377-x

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