期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
New density clustering-based approach for failure mode and effect analysis considering opinion evolution and bounded confidence
1
作者 WANG Jian ZHU Jingyi +1 位作者 SHI Hua LIU Huchen 《Journal of Systems Engineering and Electronics》 CSCD 2024年第6期1491-1506,共16页
Failure mode and effect analysis(FMEA)is a preven-tative risk evaluation method used to evaluate and eliminate fail-ure modes within a system.However,the traditional FMEA method exhibits many deficiencies that pose ch... Failure mode and effect analysis(FMEA)is a preven-tative risk evaluation method used to evaluate and eliminate fail-ure modes within a system.However,the traditional FMEA method exhibits many deficiencies that pose challenges in prac-tical applications.To improve the conventional FMEA,many modified FMEA models have been suggested.However,the majority of them inadequately address consensus issues and focus on achieving a complete ranking of failure modes.In this research,we propose a new FMEA approach that integrates a two-stage consensus reaching model and a density peak clus-tering algorithm for the assessment and clustering of failure modes.Firstly,we employ the interval 2-tuple linguistic vari-ables(I2TLVs)to express the uncertain risk evaluations provided by FMEA experts.Then,a two-stage consensus reaching model is adopted to enable FMEA experts to reach a consensus.Next,failure modes are categorized into several risk clusters using a density peak clustering algorithm.Finally,the proposed FMEA is illustrated by a case study of load-bearing guidance devices of subway systems.The results show that the proposed FMEA model can more easily to describe the uncertain risk information of failure modes by using the I2TLVs;the introduction of an endogenous feedback mechanism and an exogenous feedback mechanism can accelerate the process of consensus reaching;and the density peak clustering of failure modes successfully improves the practical applicability of FMEA. 展开更多
关键词 failure mode and effect analysis(FMEA) interval 2-tuple linguistic variable(I2TLV) consensus reaching density peak clustering algorithm
在线阅读 下载PDF
区间值比例二元组语言集成算子及其决策方法 被引量:2
2
作者 焦志敏 张慧 李伯权 《计算机工程与应用》 CSCD 北大核心 2017年第5期85-89,102,共6页
结合区间不确定性语言集与比例二元组,提出区间值比例二元组的概念;基于得分函数与精确函数,给出了两个区间值比例二元组的比较方法,并介绍了区间值比例二元组与区间数之间的转换函数;在此基础上,提出区间值比例二元组加权几何算子及区... 结合区间不确定性语言集与比例二元组,提出区间值比例二元组的概念;基于得分函数与精确函数,给出了两个区间值比例二元组的比较方法,并介绍了区间值比例二元组与区间数之间的转换函数;在此基础上,提出区间值比例二元组加权几何算子及区间值比例二元组有序加权几何算子;针对不同语言标度的群决策问题,通过统一标度给出了相应的多属性群决策方法,并将其用于投资商投资过程中。 展开更多
关键词 区间值 比例二元组 加权几何算子
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部