Skip to content
DraconiticResearch
Search Sources API
194,164 studies31 sourcesUpdated 9 min ago
Peer-reviewedCC BYScientific Reports

Research on refined classification method of surrounding rock based on game theory combination weighting - fuzzy cloud model

  • Yanfei Yang1
  • Shuailong Jia1
  • Dong Zhang2
  • Xiaobo Li3
  • Hui Li4
  • Zhonghu Wu5
  • Songyu Li6
6 affiliations
  1. 1School of Civil Engineering, Hebei University of Engineering
  2. 2Tangshan Caofeidian Development Investment Group Co., Ltd
  3. 3Hebei Longteng Heavy Industry Technology Co., Ltd
  4. 4School of Energy and Mining, Shandong University of Science and Technology
  5. 5School of Civil Engineering, Guizhou University
  6. 6School of Business, Fuyang Normal University
Read full textPDFDOICite

Abstract

The surrounding rock classification system suffers from wide variations in surrounding rock quality across grades and significant disparities within the same grade, making it difficult to accurately assess surrounding rock quality and implement differentiated management in engineering practice. Accordingly, this paper summarises commonly used domestic surrounding rock classification methods and integrates five evaluation indicators to establish a refined surrounding rock classification index system. Subsequently, the membership degrees of the evaluation indicators were calculated using a cloud model, and a game-theoretic combination weighting method was applied to assign both objective and subjective weights to the evaluation indicators. Ultimately, surrounding rock grades were determined using a fuzzy comprehensive evaluation method, thereby establishing a surrounding rock grading assessment model based on a game theory–based combined weighting–fuzzy cloud model. In a preliminary proof-of-concept on a small-scale dataset of 15 samples, this model achieved a classification accuracy of 93%; subsequent studies on larger datasets wil be conducted to verify its effectiveness and generalizability.

Related

  1. Anti-tumor immunotherapy, radiotherapy, and chemotherapy multimodal combination strategies and interactions in unresectable, locally advanced lung cancer: Clinical practice, mechanism, and biomarker research
    Yan Xu, Hui Guan, Yuan Wu +4
    Journal of translational internal medicinePeer-reviewedCC BYFull textOncologyEurope PMCEurope PMCPMC
  2. Quadrant classification and development path of gymnastics-related research topics in Chinese high-quality journals: Based on SCI, PKU Core and CSSCI source journals
    Jingli Yu, Wen Sun, Luping Qu +3
    PLOS OnePeer-reviewedCC BYFull textGeneral biologyStatisticsPLOSEurope PMCPMC
  3. Endometrial cancer molecular classification: research advances and clinical application.
    Ya Liu, Yueying Li, Liping Zhang
    Frontiers in oncologyPeer-reviewedCC BYFull textObstetrics, gynaecology & paediatricsEurope PMCCrossref
  4. Noninvasive tomography of tumor progression via dynamical changes of T-cells in surrounding microenvironment
    L. Xu, P. Meng, W. Yin +1
    bioRxivPreprintCC BYFull textOncologybioRxiv
  5. Refined protocol for quantifying hippocampal neurogenesis in organotypic slice cultures
    Irem Akyel, Graham K. Sheridan
    Experimental biology and medicine (Maywood, N.J.)Peer-reviewedCC BYFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{yang2026research,
  title = {{Research on refined classification method of surrounding rock based on game theory combination weighting - fuzzy cloud model}},
  author = {Yanfei Yang and Shuailong Jia and Dong Zhang and Xiaobo Li and Hui Li and Zhonghu Wu and Songyu Li},
  journal = {Scientific Reports},
  year = {2026},
  month = jul,
  doi = {10.1038/s41598-026-62068-3},
  url = {https://doi.org/10.1038/s41598-026-62068-3},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Research on refined classification method of surrounding rock based on game theory combination weighting - fuzzy cloud model
AU  - Yanfei Yang
AU  - Shuailong Jia
AU  - Dong Zhang
AU  - Xiaobo Li
AU  - Hui Li
AU  - Zhonghu Wu
AU  - Songyu Li
PY  - 2026
DA  - 2026/07/01
JO  - Scientific Reports
DO  - 10.1038/s41598-026-62068-3
UR  - https://doi.org/10.1038/s41598-026-62068-3
AB  - The surrounding rock classification system suffers from wide variations in surrounding rock quality across grades and significant disparities within the same grade, making it difficult to accurately assess surrounding rock quality and implement differentiated management in engineering practice. Accordingly, this paper summarises commonly used domestic surrounding rock classification methods and integrates five evaluation indicators to establish a refined surrounding rock classification index system. Subsequently, the membership degrees of the evaluation indicators were calculated using a cloud model, and a game-theoretic combination weighting method was applied to assign both objective and subjective weights to the evaluation indicators. Ultimately, surrounding rock grades were determined using a fuzzy comprehensive evaluation method, thereby establishing a surrounding rock grading assessment model based on a game theory–based combined weighting–fuzzy cloud model. In a preliminary proof-of-concept on a small-scale dataset of 15 samples, this model achieved a classification accuracy of 93%; subsequent studies on larger datasets wil be conducted to verify its effectiveness and generalizability.
SN  - 2045-2322
ER  -