基于灰色模糊层次分析法的企业云服务安全评价模型

从企业实施云服务项目角度,总结得出影响云服务安全的四大因素,即平台设施、运行安全、运营管理以及法律法规因素。在此基础上构建企业云服务安全评价模型,并利用灰色模糊层次分析法（ GFAHP）对模型进行综合评价。最后通过一个实例进行具体阐明与评价。     

QoE enhancement of the industrial metaverse based on Mixed Reality application optimization

As a comprehensive integration of many new-generation information technologies, the metaverse has become a research hotspot that has attracted much attention. As a part of the metaverse, the industrial metaverse is expected to break through the constraints of space and time and promote high-quality industrial development. The industrial metaverse is human-centric, so its quality of experience (QoE) is a key topic. As one of the enabling technologies of the industrial metaverse, Mixed Reality (MR) can seamlessly integrate virtual information with the physical world and is widely regarded as an important window to the industrial metaverse. In close integration with other enabling technologies, industrial MR applications can be seen as a path toward the realization of the industrial metaverse; thus, the optimization of industrial MR applications can effectively achieve the QoE enhancement of the industrial metaverse. Based on the analysis of existing research and the characteristics of industrial scenarios, consistency, authenticity, smoothness, and comfort are identified as the factors that influence the user experience (UX) of industrial MR applications. Specific optimization methods for industrial MR applications are proposed to improve the UX with regard to these four factors. To verify the effectiveness of the proposed methods, a QoE evaluation model of the industrial metaverse based on the fuzzy analytic hierarchy process (FAHP) is established. Moreover, an industrial metaverse prototype for longwall mining that incorporates the proposed methods is developed and its QoE is evaluated. The results show that the proposed optimization methods for industrial MR applications significantly enhance the QoE in the industrial metaverse, and can provide better services for users in industrial systems, thus better serving these systems.     

Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach

This paper presents a performance assessment of 88 Association of Southeast Asian Nations banks from 2010 to 2013, using an integrated three‐stage approach on financial criteria that emulates the CAMELS rating system. More precisely, fuzzy analytic hierarchy process is used first to assess the relative weights of a number of criteria related to capital adequacy (C), asset quality (A), management quality (M), earnings (E), liquidity (L), and sensitivity to market risk (S) based on the opinion of 88 Association of Southeast Asian Nations experts. Then, these weights are used as technique for order of preference by similarity to ideal solution inputs to assess their relative efficiency. Lastly, neural networks are combined with technique for order of preference by similarity to ideal solution results to produce a model for banking performance with effective predictive ability. The results reveal that contextual variables have a prominent impact on efficiency. Specifically, parsimony in equity leveraging derived from Islamic finance principles may be the underlying cause in explaining higher efficiency levels.     

A fuzzy reasoning and fuzzy-analytical hierarchy process based approach to the process of railway risk information: A railway risk management system

Risk management is becoming increasingly important for railway companies in order to safeguard their passengers and employees while improving safety and reducing maintenance costs. However, in many circumstances, the application of probabilistic risk analysis tools may not give satisfactory results because the risk data are incomplete or there is a high level of uncertainty involved in the risk data. This article presents the development of a risk management system for railway risk analysis using fuzzy reasoning approach and fuzzy analytical hierarchy decision making process. In the system, fuzzy reasoning approach (FRA) is employed to estimate the risk level of each hazardous event in terms of failure frequency, consequence severity and consequence probability. This allows imprecision or approximate information in the risk analysis process. Fuzzy analytical hierarchy process (fuzzy-AHP) technique is then incorporated into the risk model to use its advantage in determining the relative importance of the risk contributions so that the risk assessment can be progressed from hazardous event level to hazard group level and finally to railway system level. This risk assessment system can evaluate both qualitative and quantitative risk data and information associated with a railway system effectively and efficiently, which will provide railway risk analysts, managers and engineers with a method and tool to improve their safety management of railway systems and set safety standards. A case study on risk assessment of shunting at Hammersmith depot is used to illustrate the application of the proposed risk assessment system.     

基于改进FAHP方法谈我国铁路BOT融资项目的风险

解析了铁路BOT融资项目各风险因素,运用改进的FAHP方法对其进行了研究,计算出各风险因素权重,找出其中的主要风险,为项目风险决策提供依据,对传统FAHP方法进行改进,提高其判断矩阵的一致性,保证分析结果的可靠性。     

模糊层次分析法对岩溶塌陷易发程度的评估——以广西来宾市吉利村为例

岩溶塌陷是我国主要的地质灾害,其易发程度的评估预测对减少社会损失有重要意义。以岩溶地貌发育的广西来宾市吉利村为研究实例,应用模糊层次分析法,结合研究区地质状况,引入G1S和遥感技术,对研究区的岩溶塌陷易发程度进行评估。首先确定岩溶塌陷评估因子及其权重值;其次划分塌陷等级,将其分为极易发区、易发区、一般区、较稳定区和稳定区;最后对研究区进行评估预测,对评估结果处理后得出研究区岩溶塌陷易发程度分区图。     

上市公司财务危机的测度模型

针对上市公司财务危机测度难以做到客观、准确的问题,提出了对上市公司财务危机的模糊综合评价方法,建立了系统的评价指标体系.运用AHP法构建了上市公司财务危机评价的递阶层次结构,采用FAHP法求其指标权重,建立了一个适用于上市公司财务危机定量测度的多级多目标模糊综合评价数学模型,可以进行上市公司财务危机预警,控制风险,减少损失.     

敏捷虚拟企业组织优化中伙伴选择的建模方法

随着信息技术的发展和全球化市场竞争环境的形成,制造业的经营观念发生了深刻的改变.敏捷制造（agile manufacturing,AM）作为提高企业群体竞争能力的全新制造业生产组织模式,被认为是21世纪制造业采用的主导模式.对AM的出现和发展以及相关技术进行综述后主要讨论了在敏捷虚拟企业（agile virtual enterprises,AVE）组建过程中,支持敏捷虚拟企业（AVE）盟主进行合作伙伴选择与实现的模糊层次分析法.并对原有的层次分析法的不足做了阐述.     

矿产资源供应能力评价的FAHP方法

为了合理地开发和利用资源,提高资源利用效率和矿业发展质量,科学论证与评价矿产资源供应能力,具有重要的理论意义和现实意义。采用定性定量相结合的模糊层次分析法（FAHP）,构建了矿产资源的供应能力的评价模型,并以我国2006—2015年钴资源的历史数据为例,将资源禀赋、供需市场、政治环境作为评价准则,通过对评价指标进行分析,得到了钴资源供应能力的评价值均在1以下,并呈现逐年下降趋势。研究结果表明,我国钴资源的供应能力整体偏弱,今后几年钴资源供应能力仍会维持在较低水平。     

基于改进的博弈论-变权可拓模型的边坡稳定评估

为解决边坡稳定性评估中指标权重求取的模糊性问题,构建了基于改进的博弈论-变权可拓模型的边坡稳定性评估方法。首先构建综合评价指标体系,采用改进基于三值判断的FAHP法和CRITIC法分别确定主、客观常权;并由博弈论模型确定最优综合常权;为考虑评价指标自身状态值对其权重的影响,构造均衡函数,采用变权理论求得最终动态权重,以弥补常权评估带来的误差。利用物元可拓模型进行综合性评估,判定边坡的危险性等级。将该模型运用到某露天铜矿边坡稳定性评估中,其评估结果与实际情况相符,表明了该评估模型的科学可行性。在文中计算出的权重的基础上,采用其它综合评估方法进行验证,评估结果都与实际情况一致,证明了该种赋权方法的合理性。