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A Credibility Evaluation Method for Rock Mass Quality Classification Integrating Multi-source Information
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Jing XU1, Chengyu JIANG1, Zi'an ZHAO2, Shenglun CHEN3, Liming ZHANG1, Chen WANG1, Jianhua JI4
Mining and Metallurgical Engineering | 2026, 46(4) : 36 - 45
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Mining and Metallurgical Engineering | 2026, 46(4): 36-45
• MINING •
A Credibility Evaluation Method for Rock Mass Quality Classification Integrating Multi-source Information
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Jing XU1, Chengyu JIANG1, Zi'an ZHAO2, Shenglun CHEN3, Liming ZHANG1, Chen WANG1, Jianhua JI4
Affiliations
  • 1.School of Mining Engineering, Guizhou University, Guiyang 550025, Guizhou, China
  • 2.Guizhou Zhengli Mining Co., Ltd., Guiyang 550300, Guizhou, China
  • 3.Wengfu (Group) Co., Ltd., Guiyang 550002, Guizhou, China
  • 4.Guiyang Institute of Information Science and Technology, Guiyang 550025, Guizhou, China
doi: 10.3969/j.issn.0253-6099.2026.04.005
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Aiming at the inconsistency of grading results and difficulty in determining credibility for rock mass quality classification methods such as the RMR method, Q-system method and BQ method, a credibility evaluation method for rock mass quality classification based on analytic hierarchy process (AHP), fuzzy comprehensive evaluation (FCE) and D-S evidence theory is proposed. Firstly, the evaluation vector of rock mass quality grade is obtained via the AHP-FCE model. The evaluation vectors obtained by the three classification methods are taken as independent bodies of evidence. The D-S evidence theory and credibility weighting model are introduced to fuse and revise multi-source evidence, so as to obtain an optimal rock mass quality classification result integrating multi-source information. On this basis, a calculation platform for the credibility of rock mass quality classification is established with MATLAB GUIDE. Verification with 16 groups of measured data from No.2 Ping' an Phosphate Mine shows that the evaluation results obtained by the proposed method are more consistent with engineering practice than those from any single classification method. After revision by the credibility weighting model, the conflict coefficients of 16 groups of original evidence decrease from 0.60-0.82 to less than 0.01. The conflict problem of multi-source evidence is effectively solved, and the credibility of rock mass quality classification results is improved.

rock mass quality classification  /  analytic hierarchy process (AHP)  /  fuzzy comprehensive evaluation (FCE)  /  D-S evidence theory  /  credibility evaluation  /  AHP-FCE model  /  multi-source information  /  conflict coefficient  /  credibility weighting model
徐晶, 江成玉, 赵梓安, 陈胜伦, 张黎明, 王沉, 吉建华. 融合多源信息的岩体质量分级可信度评估方法. 矿冶工程杂志, 2026 , 46 (4) : 36 -45 . DOI: 10.3969/j.issn.0253-6099.2026.04.005
Jing XU, Chengyu JIANG, Zi'an ZHAO, Shenglun CHEN, Liming ZHANG, Chen WANG, Jianhua JI. A Credibility Evaluation Method for Rock Mass Quality Classification Integrating Multi-source Information[J]. Mining and Metallurgical Engineering, 2026 , 46 (4) : 36 -45 . DOI: 10.3969/j.issn.0253-6099.2026.04.005
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Year 2026 volume 46 Issue 4
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doi: 10.3969/j.issn.0253-6099.2026.04.005
  • Receive Date：2026-04-15
  • Online Date：2026-10-08
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  • Received：2026-04-15
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Affiliations
    1.School of Mining Engineering, Guizhou University, Guiyang 550025, Guizhou, China
    2.Guizhou Zhengli Mining Co., Ltd., Guiyang 550300, Guizhou, China
    3.Wengfu (Group) Co., Ltd., Guiyang 550002, Guizhou, China
    4.Guiyang Institute of Information Science and Technology, Guiyang 550025, Guizhou, China
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https://castjournals.cast.org.cn/joweb/kygczz/EN/10.3969/j.issn.0253-6099.2026.04.005
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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