ZHANG Hua-jin, WU Shun-chuan, HAN Long-qiang, et al. Heterogeneous ensemble evaluation method of rock mass quality based on improved Dempster-Shafer evidence theory[J]. 2022, 43(S1): 532-541.
DOI:
ZHANG Hua-jin, WU Shun-chuan, HAN Long-qiang, et al. Heterogeneous ensemble evaluation method of rock mass quality based on improved Dempster-Shafer evidence theory[J]. 2022, 43(S1): 532-541.DOI: 10.16285/j.rsm.2021.1905.
Heterogeneous ensemble evaluation method of rock mass quality based on improved Dempster-Shafer evidence theory
In order to objectively obtain accurate and reliable rock quality evaluation results
a heterogeneous ensemble evaluation method based on improved D-S (Dempster-Shafer) evidence theory is proposed for the existing individual evaluation models which are prone to misjudgment and bias. Firstly
based on determining the rock mass quality evaluation standard and data set
6 heterogeneous base classifiers are used to train the data set
and the preliminary rock mass quality evaluation results are obtained. Then
the result of each base classifier is taken as a piece of evidence
and the evidence is integrated through the improved D-S evidence theory to form a comprehensive evaluation result
to solve the inconsistency of the results of the existing evaluation methods. Based on 30 groups of samples
a heterogeneous ensemble evaluation model based on improved D-S evidence theory was constructed and applied to the rock mass quality evaluation of the Guangzhou water pumping and storage power station phase II project. The results show that the heterogeneous ensemble evaluation method based on the improved D-S evidence theory improves the accuracy and reliability of rock mass quality grade identification
avoids subjectivity and uncertainty in the evaluation process