Abstract
The stability of point-pillar is of crucial importance for the mines using point-pillar mining method. Instable pillars can cause the collapse of goaf roof and threaten the safety of workers. In this study, a hesitant fuzzy genetic algorithm-weighted distance-based approximation (GA-WDBA) approach is proposed to evaluate the stability of point-pillar. First, an evaluation criteria system of point-pillar stability is established. Considering that point-pillar stability is affected by both qualitative and quantitative factors, hesitant fuzzy numbers (HFNs) and crisp numbers are adopted to express criteria values. Then, the traditional GA is modified with a nonlinear programming algorithm to improve its local search ability and calculate criteria weights. Afterwards, the traditional WDBA method is extended with HFNs to solve those evaluation problems with hybrid decision information. Finally, the proposed methodology is applied to evaluate the point-pillar stability in Xinli mining district. The effectiveness and advantages of the methodology are discussed based on the comparison of multiple approaches. The results indicate that the proposed hesitant fuzzy GA-WDBA approach is reasonable and efficient for the evaluation of point-pillar stability, and can provide a reference for the risk management of point-pillar stability.
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Acknowledgements
This work was supported by Excellent Youth Project of Hunan Provincial Education Department (21B0062), National Key Research and Development Program of China (2018YFC0604606), and National Natural Science Foundation of China (71901226). The first author is supported by China Scholarship Council (201906370137).
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Luo, S., Liang, W., Zhao, G. et al. Evaluation of Point-Pillar Stability Using a Hesitant Fuzzy GA-WDBA Approach. Int. J. Fuzzy Syst. 24, 3702–3714 (2022). https://doi.org/10.1007/s40815-022-01355-3
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DOI: https://doi.org/10.1007/s40815-022-01355-3