基于直觉模糊AHP和模糊MAIRCA的故障模式与影响分析

故障模式与影响分析(FMEA)是一种主动的风险评估技术,其主要目的是根据其风险水平对故障模式进行排序,并执行后续行动以消除或减轻其后果.为克服传统FMEA技术通过风险优先级数(RPN)来确定关键故障模式带来的缺陷.本文提出了一种新的集成多准则决策(MCDM)方法,即将直觉模糊层次分析过程(IFAHP)与改进的模糊多属性理想现实比较分析(FMAIRCA)相结合.首先,本文通过IFAHP方法来计算风险因素权值;然后,使用本文提出的改进FMAIRCA模型推导出故障模式的排序;此外,在整个过程中还考虑了专家的客观权重;最后,考虑FMEA领域中的一个案例来验证所提出的方法,结果表明,本文提出的方法为FMEA的风险评估提供一种实用而有效的方法.

基于属性偏好的直觉模糊MAIRCA决策方法

针对不确定信息环境下的应急决策问题,提出一种基于属性偏好的多属性理想现实比较分析法(MAIRCA)。首先,给出MAIRCA框架的一个新的直觉模糊扩展,并定义一种新的专家综合权重和属性偏好权重的计算方法;其次,考虑决策者对各决策属性的偏好信息,构建基于属性偏好的直觉模糊MAIRCA决策方法;再次,通过网络安全的应急决策算例,与现有的多属性决策方法(IF-AHP、IF-MARCOS、IF-TOPSIS、IF-BWM、IF-MAIRCA、IF-VIKOR)进行对比实验,实验结果验证了本文方法的合理性和有效性。最后,通过敏感性分析,动态调整属性权重,对备选方案进行重新排名,所得结果趋于一致性,说明该方法具有较强的鲁棒性。

带偏好q-阶正交模糊MAIRCA多属性决策方法

本文针对属性评估值为q-阶正交模糊数的多属性决策问题,提出了一种MAIRCA决策方法。首先,结合决策者的风险偏好拓展提出更贴合实际的得分函数,并证明了其相关性质;其次在q-阶正交模糊环境下构建了Q-MAIRCA多属性决策方法;最后通过一个银行风险评估的算例证明了QMAIRCA决策方法的可行性。

Occupational health and safety performance evaluation of countries based on MAIRCA

Purpose-The purpose of this paper is to develop an approach to compare occupational health and safety(OHS)performances of countries.Additionally,another aim is to debate the impacts of using recorded data and ratios for OHS performance evaluations.Design/methodology/approach-The number of fatal accidents(NFAs),fatal accident rates(FARs),numbers of lost days(NLDs)and accident severity rates(ASRs)are determined as main criteria and six economic activity areas(EAAs)are considered as sub-criteria.Two different initial decision matrices are used as the initial decision matrix,the first of which consists of recorded data of countries related to NFAs and NLDs,and the second consists of FAR and ASR values as ratios.Importance weights of main and sub-criteria regarding the recorded data and ratios are determined using four different weighting ways.Countries are ranked via utilizing Multi-Attributive Ideal-Real Comparative Analysis considering two different initial decision matrices.Findings-It can be stated that an evaluation based on ratios for comparison of OHS performance provides more realistic results.Additionally,increasing the effect of the FAR values using the 6,000 equivalent lost days factor is also important in terms of differentiating the data of the countries in question.Originality/value-To the best of the authors’knowledge,there is no study in literature that discusses the ranking of countries by means of recorded data and ratios considering different criteria.Additionally,this study is a first in terms of the number of countries evaluated and the comparison of these countries according to their respective EAAs.

FPSO火灾爆炸风险评估方法

为了保障海上油气开发的安全进行,对FPSO设备失效引起火灾爆炸进行风险评估。基于模糊Shannon熵和模糊多属性理想现实分析比较法(FMAIRCA),提出了一种改进的FMEA风险评估方法。通过模糊Shannon熵确定风险因素之间的模糊相对重要度,采用FMAIRCA中的重要度值对失效模式进行风险等级排序。通过对FPSO火灾爆炸进行风险评估,并与TOPSIS方法和传统FMEA方法得到的评估结果进行对比,验证评估方法的有效性和可靠性。研究表明,提出的方法能在模糊数据中获取准则权重,在处理大量失效模式和决策标准的情况下计算成本低,该方法排序稳定性更高能够获得更加可靠的风险评估结果。

Fuzzy Decision Model: Evaluating and Selecting Open Banking Business Partners

The finance supply chain has always been a different supply chain compared to product supply chain being a service supply chain.Open Banking(OB)is one of the most important milestones since the beginning of financial technology innovation and service supply chain.As these are activities provided by traditional banks,non-bank financial institutions also provide financial service with access to consumer banking,transactional and other financial data to develop financial applications and services tailored to their customers.The development of financial technology,“Open banking”,promotes financial services to begin this transformation.However,evaluating and selecting open banking business partners from multiple perspectives for banks are underexplored.Thus,the authors in this research proposed a hybrid multicriteria decision-making model which includes a Spherical Fuzzy Analytical Hierarchy Process(SF-AHP)model and a Multi-Attributive Ideal-Real Comparative Analysis(MAIRCA)model with supports from seasoned domain experts.The contribution of this research is a proposition of a fuzzy decision model for evaluating and selecting open banking business partners.The model successfully determined a suitable open bank provider in order to assist decision makers decide objectively.

Study on risk assessment and factors ranking of the LTE-M communication system

To assess the operational safety risk of long-term evolution for the metro(LTE-M)communication system more accurately,the guide maintenance strategy,the improved evidence theory and the multi-attribute ideal reality comparative analysis(MAIRCA)approaches are proposed.According to the features of LTE-M system,the risk evaluation system is established.The enhanced structural entropy weight method is used to obtain the weight.Furthermore,it is combined with nine-element fuzzy mathematics to transform the degree of membership,modifying the conflict and fusion rules to solve the confidence degree clashed problem of evidence theory.Then,the system risk grade assessment result is obtained.For the purpose of forming the ranking of indicator importance,the MAIRCA is introduced and the ranking is three-dimensional.The operational state of the metro line is used as the data source in various ways the obtained risk grade increased by 7.12%.It is verified that MAIRCA can be applied to the field of urban rail transit because it has based on the test and calculation.The results show that the method is effective;compared with others,the confidence degree of excellent stability and the ranking result of risk factors is reasonable.The influencing indicator with the highest importance is the'equipment failure rate".