基于梯形模糊综合分析法的弹药维修安全风险评估

针对弹药维修的复杂性和特殊性,提出了一种基于梯形模糊综合分析法的弹药维修安全风险评估的方法.从环境、管理、人员、设备和物资等5个方面考虑,建立了弹药维修安全风险评估指标体系;鉴于人判断的模糊性和判断矩阵一致性检验要求,采用了基于梯形模糊数期望值的层次分析法确定指标的权重系数;建立了基于梯形模糊综合分析法的弹药维修安全风险评估模型.通过对某弹药维修工厂的实例分析证明,所建立的弹药安全风险评估模型合理、科学、有效,能够为制定相应的法规提供理论的支撑.     

String Equations of the q-KP Hierarchy

Based on the Lax operator L and Orlov-Shulman’s M operator, the string equations of the q-KP hierarchy are established from the special additional symmetry flows, and the negative Virasoro constraint generators {L _−n , n ≥ 1} of the 2-reduced q-KP hierarchy are also obtained.     

基于AHP的典当企业内部管理制度体系的构建及评价——山东省243家典当企业的调查分析

按照客观性、科学性与发展性原则,构建了典当企业内部管理制度评价体系,由6个准则层与25个具体措施方案层的指标构成。以山东省243家典当企业的调查问卷信息统计分析基础上,提出了基于AHP的典当企业内部管理制度体系的构建及评价方法,旨在为典当业分级管理提供参考依据。     

基于AHP-TOPSIS评判模型的中药企业研发人员胜任力研究

研发人员作为企业中运用知识进行创新活动的群体,具有知识型员工的行为特质,因而导致研发人员的努力程度和贡献大小很难准确地测量.为了解决科学地评价研发人员胜任力的问题.在层次分析法(AHP)和逼近理想解的排序法(TOPSIS)两个理论的基础上,构建了AHP—TOPSIS综合评判指标体系模型,对3类中药企业研发人员胜任力进行综合评判优选.从职业态度、知识—技术、个人魅力、创新能力和团队合作能力5个方面综合考虑影响研发人员胜任力的评判指标,旨在为企业和不同行业全面评价以及甄选研发人才提供一种可行的方法.     

自然灾害应急能力评估模型设计——基于河北滦县地区的案例研究

如何量化自然灾害应急能力评价指标一直是地方政府完善应急体系的主要难点.按照国际应急能力评价原则,构建了一套应急能力评价指标体系,并采用模糊层次分析法(FAHP)确定各层次指标权重,采用专家模糊打分法建立评价指标集,并通过对模糊评价进行赋值,最后通过计算得到被评价地区的自然灾害应急能力水平.实例说明了河北省滦县自然灾害应急能力评价的具体过程,研究结果表明,该评估方法是地方政府自然灾害应急能力评估的有效工具.     

The applications of the gauge transformation for the BKP hierarchy

In this paper, we investigated four applications of the gauge transformation for the BKP hierarchy. Firstly, it is found that the orbit of the gauge transformation for the constrained BKP hierarchy defines a special (2+1)$(2+1)$-dimensional Toda lattice equation structure. Then the tau function of the BKP hierarchy generated by the gauge transformation is shown to be the Pfaffian. And the higher Fay-like identities for the BKP hierarchy is also obtained through the gauge transformation. At last, the compatibility between the additional symmetry and the gauge transformation of the BKP hierarchy is proven.     

大型水轮发电机冷却方式综合评价方法的研究

随着水轮发电机的大型化发展, 对发电机冷却技术的要求也越来越高. 不同冷却方式不仅会影响水轮发电机的结构, 同时也会影响发电机的能耗和可靠性. 本文首先对水轮发电机三种常见冷却方式进行了定性对比分析, 然后提出基于层次分析法的水轮发电机冷却方式综合评价方法. 最后, 利用该方法对李家峡400 MW空冷机组和蒸发冷却机组进行了综合评价, 评价结果表明蒸发冷却方式优于空冷方式, 本文所提出的评价方法能够定量计算冷却方式带来的水轮发电机性能差异, 为水轮发电机的节能改造提供了指导依据.     

Generalized nonisospectral super integrable hierarchies

For the Lie superalgebra B(0,1), we choose a set of basis matrices. Then we consider a linear combination of the basis matrices, which is exactly the spectral matrix of the spatial part for the super Ablowitz‐Kaup‐Newell‐Segur (AKNS) hierarchy. The compatible condition of the spatial and temporal spectral problems leads to the well‐known zero curvature equation. Here, when the spectral parameter is independent (dependent) of temporal parameter, we obtain isospectral (nonisospectral) super AKNS hierarchy. Furthermore, we derive the generalized nonisospectral super AKNS hierarchy (GNI‐SAKNS). As another example, similar method is successfully applied to the super Dirac hierarchy, and we obtain the generalized nonisospectral super Dirac hierarchy (GNI‐SD).     

N-dark Soliton Solutions for the Multi-component Maccari System

By virtue of the KP hierarchy reduction method, the N-dark soli- ton solutions of the multi-component Maccari system are constructed. Taking the coupled Maccari system for instance, the N-dark soliton solutions are fur- ther obtained in terms of determinants. In addition, in contrast with bright- bright soliton collisions, the dynamical analysis shows that the collisions of dark-dark solitons are elastic and there is no energy exchange among soli- tons in different components. What’s more, we also investigate the dark-dark soliton bound states including stationary and moving ones.     

Complex brain networks: From topological communities to clustered dynamics

Recent research has revealed a rich and complicated network topology in the cortical connectivity of mammalian brains. A challenging task is to understand the implications of such network structures on the functional organisation of the brain activities. We investigate synchronisation dynamics on the corticocortical network of the cat by modelling each node of the network (cortical area) with a subnetwork of interacting excitable neurons. We find that this network of networks displays clustered synchronisation behaviour and the dynamical clusters closely coincide with the topological community structures observed in the anatomical network. The correlation between the firing rate of the areas and the areal intensity is additionally examined. Our results provide insights into the relationship between the global organisation and the functional specialisation of the brain cortex.