基于NSGA-Ⅱ与熵权TOPSIS法的混杂纤维再生混凝土配合比多目标优化

制备以钢纤维(SF)、塑钢纤维(MPPF)为骨料的高性能道面混杂纤维再生混凝土(HFRAC),研究改善再生混凝土(RAC)强度及耐磨性能,采用响应面法(RSM)中Box-Behnken试验设计方法,以SF体积掺量、MPPF体积掺量和砂率为因素,以HFRAC抗折强度、抗压强度和磨损量为评价指标,建立各评价指标的预测模型,分析各因素对评价指标的影响,并构建基于NSGA-Ⅱ耦合熵权TOPSIS法的HFRAC配合比优选模型,确定综合性能最优时的配合比方案。结果表明:在试验范围内各评价指标的响应面模型拟合效果良好,预测精度高;各评价指标不仅受单因素影响,而且受因素间交互作用影响,SF体积掺量与MPPF体积掺量交互作用对抗折强度、抗压强度影响极显著,对磨损量影响显著,MPPF体积掺量与砂率交互作用对抗折强度影响显著;当SF体积掺量为1.39%、MPPF体积掺量为0.97%、砂率为36.10%时,HFRAC综合性能最优。该方法能够实现HFRAC性能的综合改善,可为HFRAC在道路工程中的推广应用提供一定理论依据和技术支撑。     

基于逼近理想解法的现代配电网成熟度评价

针对目前现代配电网缺乏成熟度量化评价的问题,研究了适用于现代配电网发展成熟度评价的评价指标体系及评价方法。选取2014年已有的评价指标数据和2020年规划评价指标数据作为及格线和满分线,通过一次曲线拟合得到给定样本各项评价指标的分数,并在各项评价指标本身统计学特征参数—标准差和特征值的基础上得到各自可反映各项评价指标价值的变异系数。借助变异系数计算将各个指标赋予相应的权重,保证了评价的客观性。在此基础上运用逼近理想解法计算得出每个样本与正负理想样本之间的距离,借助相对接近度的计算可以直观地体现各地区的排名。以某省5个地区配电网为算例,验证了评价体系能正确客观的评价现代配电网的发展水平,证明了评价体系对于提高配电网的电能质量和提高整体运行水平有着重要意义。     

基于Entropy-TOPSIS 方法的目标威胁动态评估与仿真

为解决在目标威胁评估方法中,确定各属性的权重时受主观因素和高机动目标影响大的问题,提出一种 改进的多属性决策目标威胁评估方法。综合模糊理论和多属性决策理论,通过构造隶属度函数规范化属性值,基于 熵值法求解属性权重,应用TOPSIS 理论进行目标威胁评估,构建不同的态势实例,采用静态数值计算和动态模拟 仿真的方法对算法进行验证。仿真实验结果验证了该方法的合理性和有效性。     

基于TOPSIS原理的注汽管线保温材料优选

注汽管线保温材料的性能影响管线保温情况,进而影响稠油油田生产能耗。通过实地调研与理论研究相结合的方法,基于TOPSIS原理建立一种优选保温材料的评价体系,通过TOPSIS原理与熵权法、层次分析法结合,优选注汽管线保温材料。     

基于熵权与TOPSIS融合法的绿色刀具制造方案评估模型研究

基于绿色制造理念的刀具方案评估是推动机械加工行业实现绿色制造的重要措施。针对现有面向绿色制造的刀具方案评价研究中评价指标权重确定方面存在的不足,提出了一种新的熵权法和TOPSIS法相结合的绿色制造刀具方案评估方法。首先建立了多层次的绿色制造刀具方案评估指标体系,在此基础上,将熵权法与TOPSIS法相结合建立了基于熵权TOPSIS法的绿色制造刀具方案评估模型。最后通过方案评估实例验证了所建立的绿色制造刀具方案评估模型是合理有效的。     

基于Simpy 的部队装备维修仿真系统设计与实现

针对新形势下装备维修保障的优化问题,提出一种装备维修仿真系统的体系结构。分析部队维修保障过 程中关键要素之间的关系,阐述装备维修仿真系统的用户需求;以维修时间优化为例建立静态维修的任务分配优化 模型,设计动态维修条件下维修保障的过程模型,并采用层次分析法(analytic hierarchy process,AHP)和逼近理想解 排序法(technique for order preference by similarity to an ideal solution,TOPSIS)对不同维修分队的维修效能进行比较。 基于离散事件仿真库Simpy 实现了仿真系统的数据分析仿真功能,结合某型装备的维修保障数据进行了仿真验证, 仿真结果表明,该系统能为装备维修的流程设计、资源配置与优化等方面提供参考依据。     

突发性天然气供应中断的应急决策

近年来我国突发性天然气供应中断事件的发生率呈现增长趋势,对我国经济、社会稳定和人们的正常生活带来了严重影响。突发性事件发展过程是一个处于快速变化中的动态过程,信息具有不确定性和模糊性的特征,难以运用单一的方法和模型进行分析和决策。因此,结合Markov预测法、三角模糊数和改进型TOPSIS法,构建了应对突发性天然气供应中断的动态多目标应急决策模型(Markov-TOPSIS模型)。即采用Markov动态预测来反映天然气中断应急决策的动态特性,运用模糊理论以实现专家决策的量化分析,结合灰色关联和TOPSIS方法对应急决策中模糊的、不确定信息进行有效处理,并实现多目标综合评价。最后,以某区域天然气供应中断为例,对该模型进行了验证。结果表明:该模型能够有效处理天然气中断应急决策过程中面临的动态变化、信息模糊和多目标决策问题,可根据突发事件的不同发展阶段选择最优决策方案。     

Research on optimal decision-making of cloud manufacturing service provider based on grey correlation analysis and TOPSIS

It is of great practical significance to optimise the decision-making of cloud manufacturing service providers, which can ensure the efficient operation of the cloud manufacturing services. In order to effectively optimise, this paper constructs the evaluation index system, sorts out 7 important evaluation indexes. A method is proposed on the basis of the TOPSIS method and Grey Correlation Analysis (GRA), which is a decision-making method combining static distance and dynamic trend, and make the evaluation results more reasonable. In addition, in order to reflect the true weight of the high dimensional index, the evaluation model of projection pursuit index is established. The improved Particle Swarm Optimisation (PSO) algorithm is used to optimise the projection index function and model parameters, and to obtain the objective weights of evaluation indexes. Then the objective weights combine with the subjective weights obtained by the Analytic hierarchy process (AHP), which makes the weights of the evaluation indexes achieve the unity of subjective and objective. Finally, 20 sets of simulation examples are given to illustrate the feasibility and effectiveness of the proposed method.     

Emergency decision support modeling for COVID-19 based on spherical fuzzy information

Significant emergency measures should be taken until an emergency event occurs. It is understood that the emergency is characterized by limited time and information, harmfulness and uncertainty, and decision-makers are always critically bound by uncertainty and risk. This paper introduces many novel approaches to addressing the emergency situation of COVID-19 under spherical fuzzy environment. Fundamentally, the paper includes six main sections to achieve appropriate and accurate measures to address the situation of emergency decision-making. As the spherical fuzzy set (FS) is a generalized framework of fuzzy structure to handle more uncertainty and ambiguity in decision-making problems (DMPs). First, we discuss basic algebraic operational laws (AOLs) under spherical FS. In addition, elaborate on the deficiency of existing AOLs and present three cases to address the validity of the proposed novel AOLs under spherical fuzzy settings. Second, we present a list of Einstein aggregation operators (AgOp) based on the Einstein norm to aggregate uncertain information in DMPs. Thirdly, we are introducing two techniques to demonstrate the unknown weight of the criteria. Fourthly, we develop extended TOPSIS and Gray relational analysis approaches based on AgOp with unknown weight information of the criteria. In fifth, we design three algorithms to address the uncertainty and ambiguity information in emergency DMPs. Finally, the numerical case study of the novel carnivorous (COVID-19) situation is provided as an application for emergency decision-making based on the proposed three algorithms. Results explore the effectiveness of our proposed methodologies and provide accurate emergency measures to address the global uncertainty of COVID-19.     

预制构件厂精益设计方案评价研究

作为新兴产业，预制构件厂的设计和运营是实现装配式建筑构件高效率、高质量生产和配送的关键前提要素。而精益设计可以帮助预制构件厂从源头消除浪费、提高生产效率，所以对预制构件厂构建精益设计方案并且评价实施后的效果无疑是一个重点问题。针对以上问题，本文从节约资金能力、生产能力、交付能力、持续改进能力等4个视角构建出了预制构件厂精益设计评价指标体系，采用了AHP-DEMATEL法确定了指标的权重，并用改进TOPSIS法得到最终结果，最后以某预制构件厂为例验证了精益设计评价指标体系的合理性和可行性。