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System failure analysis based on DEMATEL–ISM and FMECA 被引量:2
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作者 申桂香 孙曙光 +3 位作者 张英芝 王志琼 陈炳锟 马闯 《Journal of Central South University》 SCIE EI CAS 2014年第12期4518-4525,共8页
A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems,the decision making trial and evaluation laboratory(DEMATEL) method was used to calculate the d... A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems,the decision making trial and evaluation laboratory(DEMATEL) method was used to calculate the degree of correlation between the failure subsystems, analyze the combined effect of related failures, and obtain the degree of correlation by using the directed graph and matrix operations. Then, the interpretative structural modeling(ISM) method was combined to intuitively show the logical relationship of many failure subsystems and their influences on each other by using multilevel hierarchical structure model and obtaining the critical subsystems. Finally, failure mode effects and criticality analysis(FMECA) was used to perform a qualitative hazard analysis of critical subsystems, determine the critical failure mode, and clarify the direction of reliability improvement.Through an example, the result demonstrates that the proposed method can be efficiently applied to system failure analysis problems. 展开更多
关键词 system failure analysis related failure decision making and evaluation laboratory-interpretative structural modeling(DEMATEL-ISM) failure mode effects and criticality analysis(FMECA)
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Approaches to Improving Consistency of Interval Fuzzy Preference Relations 被引量:1
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作者 Wu-Yong Qian Kevin W.Li Zhou-Jing Wang 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2014年第4期460-479,共20页
This article introduces a consistency index for measuring the consistency level of an interval fuzzy preference relation(IFPR).An approach is then proposed to construct an additive consistent IFPR from a given incon... This article introduces a consistency index for measuring the consistency level of an interval fuzzy preference relation(IFPR).An approach is then proposed to construct an additive consistent IFPR from a given inconsistent IFPR.By using a weighted averaging method combining the original IFPR and the constructed consistent IFPR,a formula is put forward to repair an inconsistent IFPR to generate an IFPR with acceptable consistency.An iterative algorithm is subsequently developed to rectify an inconsistent IFPR and derive one with acceptable consistency and weak transitivity.The proposed approaches can not only improve consistency of IFPRs but also preserve the initial interval uncertainty information as much as possible.Numerical examples are presented to illustrate how to apply the proposed approaches. 展开更多
关键词 Interval fuzzy preference relation additive consistency acceptable consistency weak transitivity decision making
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