An improved FMEA method based on the linguistic weighted geometric operator and fuzzy priority
An improved FMEA method based on the linguistic weighted geometric operator and fuzzy priority
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DOI：
10.1080/08982112.2015.1132320
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发表时间：
2016-05
影响因子：
2
通讯作者：
Yuqing Zhou;Jia-jia Xia;Y. Zhong;J. Pang
中科院分区：
文献类型：
--
作者：
Yuqing Zhou;Jia-jia Xia;Y. Zhong;J. Pang
摘要针对传统失效模式与影响分析（FMEA）中专家评价的主观性和专家评价权重难以确定的问题，提出了一种基于群体语言信息集成的FMEA方法。首先，本研究将FMEA评估的三个风险因素视为语言变量，并引入一个语言加权几何（LWG）算子来实现对专家评估结果的代数运算。该方法克服了基于模糊理论的方法由于两次转换过程而可能丢失决策信息的缺点。其次，根据专家评价的一致性，采用模糊优先法确定专家评价的权重;该方法对评价偏离群体共识的专家给予较低的权重，从而降低了专家不公平性对评价结果的影响。最后，以数控机床砂轮系统的故障模式分析为例，验证了该方法的有效性和适用性。
ABSTRACT Using the group linguistic information aggregation method, this research improved upon conventional failure mode and effect analysis (FMEA), which had the problems of the inevitable subjectivity of expert evaluations, and of the difficulty of determining the weights of experts' evaluations. First, this research treated the three risk factors of FMEA evaluation as linguistic variables and introduced a linguistic weighted geometric (LWG) operator to implement algebraic operations on the results of expert evaluations. This treatment overcame the disadvantage of fuzzy theory-based methods in which decision-making information could be lost due to the twice conversion process. Second, the weights of experts' evaluations were calculated based on the consistency of experts' ranking using a fuzzy priority method. This method placed a lower weight for the experts whose evaluation departed from group consensus, and therefore decreased the impact of the unfairness of experts on evaluation results. Finally, this article demonstrated the effectiveness and applicability of this method by an example of failure-mode analysis on the grinding wheel system of a numerical control machine.