Article(id=1314908144187302496, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2026.04.005, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1776182400000, receivedDateStr=2026-04-15, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791428131385, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791428131385, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791428131385, creator=13701087609, updateTime=1791428131385, updator=13701087609, issue=Issue{id=1314908074188562588, tenantId=1146029695717560320, journalId=1235980550691926019, year='2026', volume='46', issue='4', pageStart='1', pageEnd='266', issueExtLink='null', onlineDate='null', pubDate='1785513600000', pubDateStr='2026-08-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1791428114697, creator='13701087609', updateTime=1791430419337, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314917740654191268, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314917740654191269, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=36, endPage=45, ext={EN=ArticleExt(id=1314908146204762722, articleId=1314908144187302496, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=A Credibility Evaluation Method for Rock Mass Quality Classification Integrating Multi-source Information, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=

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.

, authors=Jing XU¹, Chengyu JIANG¹, Zi'an ZHAO², Shenglun CHEN³, Liming ZHANG¹, Chen WANG¹, Jianhua JI⁴, authorsList=Jing XU, Chengyu JIANG, Zi'an ZHAO, Shenglun CHEN, Liming ZHANG, Chen WANG, Jianhua JI, authorCompany=null, correspAuthors=Chengyu JIANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314908147429499492, articleId=1314908144187302496, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=融合多源信息的岩体质量分级可信度评估方法, columnId=1236276106219811026, journalTitle=矿冶工程杂志, columnName=采矿, runingTitle=null, highlight=null, articleAbstract=

针对RMR法、Q系统法与BQ法等岩体质量分级方法的分级结果存在差异、可信度难确定的问题，提出一种基于层次分析法（AHP）、模糊综合评价（FCE）与D-S证据理论的岩体质量分级可信度评估方法。首先通过AHP-FCE模型得到岩体质量等级的评估向量，将3种分级方法的评估向量作为独立证据体，引入D-S证据理论与可信度加权模型融合修正多源证据，从而获得一个综合多源信息的最优岩体质量分级结果。在此基础上，利用MATLAB GUIDE创建岩体质量分级可信度计算平台。以平安磷矿二矿16组实测数据进行验证，结果表明，该方法所得评估结果较任一单一分级方法更符合工程实际；经可信度加权模型修正后，16组原始证据的冲突系数由0.60~0.82降至0.01以下，有效解决了多源证据冲突问题，提升了岩体质量分级结果的可信度。

, authors=徐晶¹, 江成玉¹, 赵梓安², 陈胜伦³, 张黎明¹, 王沉¹, 吉建华⁴, authorsList=徐晶, 江成玉, 赵梓安, 陈胜伦, 张黎明, 王沉, 吉建华, authorCompany=null, correspAuthors=江成玉, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=lNfdUV9AyjJsnwkM/hu18w==, magXml=eGxzfUj9QguWPHYIkh6TaA==, pdfUrl=null, pdf=VPs3t/o/2fktT7ICJK97mg==, pdfFileSize=1479977, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=uzyOVT33kIsZlhA7AINBpQ==, mapNumber=null, fund=null)}, authors=[Author(id=1314908150407455346, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314908144187302496, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=xujing687123@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314908150491341428, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314908144187302496, authorId=1314908150407455346, language=EN, stringName=Jing XU, firstName=Jing, middleName=null, lastName=XU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Mining Engineering, Guizhou University, Guiyang 550025, Guizhou, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314908150579421813, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314908144187302496, authorId=1314908150407455346, language=CN, stringName=徐晶, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．贵州大学 矿业学院，贵州 贵阳 550025, bio={"content":"

徐晶（2001—），女，贵州福泉人，硕士研究生，主要从事顶板岩体质量分级管理方面的研究。E-mail: xujing687123@163.com

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徐晶（2001—），女，贵州福泉人，硕士研究生，主要从事顶板岩体质量分级管理方面的研究。E-mail: xujing687123@163.com

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