Deriving the priority weights from hesitant multiplicative preference relations in group decision making

In this paper, we investigate the deviation of the priority weights from hesitant multiplicative preference relations (HMPRs) in group decision-making environments. As basic elements of HMPRs, hesitant multiplicative elements (HMEs) usually have different numbers of possible values. To correctly compute or compare HMEs, there are two principles to normalize them, i.e., the α-normalization and the β-normalization. Based on the α-normalization, we develop a new goal programming model to derive the priority weights from HMPRs in group decision-making environments. Based on the β-normalization, a consistent HMPR and an acceptably consistent HMPR are defined, and their desired properties are studied. A convex combination method is then developed to obtain interval weights from an acceptably consistent HMPR. This approach is further extended to group decision-making situations in which the experts evaluate their preferences as several HMPRs. Finally, some numerical examples are provided to illustrate the validity and applicability of the proposed models.     

Simulation based neuro-fuzzy hybrid intelligent PI control approach in four-area load frequency control of interconnected power system

This paper presents a novel control approach of hybrid neuro-fuzzy (HNF) for load frequency control (LFC) of four-area power system. The advantage of this controller is that it can handle the non-linearities, and at the same time it is faster than other existing controllers. The effectiveness of proposed controller in increasing the damping of local and inter area modes of oscillation is demonstrated in four area interconnected power system. Area-1 and area-2 consist of thermal reheat power plant whereas area-3 and area-4 consist of hydro power plant. Performance evaluation is carried out by using fuzzy, ANN, ANFIS and conventional PI and PID control approaches. The performances of the controllers are simulated using MATLAB/Simulink package. The result shows that intelligent HNF controller is having improved dynamic response and at the same time faster than ANN, fuzzy and conventional PI and PID controllers.     

螺栓法兰连接模糊可靠性数值计算方法

基于垫片时效泄漏模型和应力强度干涉模型建立螺栓法兰连接的模糊可靠性模型。通过对极限状态方程进行模糊化处理,得到了螺栓法兰连接模糊可靠性计算模型,将Monte-Carlo法和有限元法相结合,提出基于有限元的螺栓法兰连接模糊可靠性计算方法,并对该方法进行验证。     

轮式移动机器人滑移轨迹跟踪控制策略研究

针对轮式移动机器人在滑移条件下的轨迹跟踪问题,提出一种自适应模糊控制策略。利用模糊状态观测器对未知的复杂系统模型进行速度估计和补偿,通过设计输出向量将位置约束转换为输出约束,并构造Barrier Lyapunov函数来保证机器人的运动约束,在此基础上设计更简单的纵向滑移模型,利用李亚普诺夫定理分析闭环系统的稳定性,证明了闭环系统中所有信号都是有界的。最后通过仿真和实验验证了自适应模糊控制策略在轮式机器人纵向滑移情况下的有效性和实用性。     

基于改进模糊自适应补偿的柔性关节机器人PD控制

针对柔性关节机器人具有不确定性、轨迹跟踪精度低和抖动的问题,提出一种改进模糊自适应补偿的PD控制方法。该方法在原有模糊自适应控制和PD控制的基础上进行改进,采用改进模糊自适应控制对PD控制进行补偿,以提高存在不确定性条件下的关节轨迹跟踪精度并抑制抖动。通过Lyapunov理论证明了系统的稳定性。仿真结果表明：新型控制器具有良好的自适应能力,与传统PD控制和模糊自适应控制相比,新型控制策略显著提高了关节的轨迹跟踪精度并在一定程度上抑制了关节抖动。     

基于遥感解译与模糊数学的矿山地质环境综合评价——以戈壁荒漠区某有色金属矿山为例

戈壁荒漠区属生态环境脆弱区,原生地质环境敏感性强,矿业开发一定程度上加剧了土地沙化、盐渍化和荒漠区砾幕层的破坏,但戈壁荒漠区以往矿山地质环境调查工作程度较低,亦亟需开展矿山地质环境调查与评价工作。通过基于遥感解译的地质环境调查,查明了矿山地质环境现状。建立了适用于戈壁荒漠区矿山地质环境评价指标体系,通过模糊数学综合评价与综合指数模型评价,得到模糊综合评判指数与综合评价指数分别为4.806、4.833,确定矿山地质环境影响程度为中度影响。基于遥感解译与模糊数学的评价方法在戈壁荒漠区有色金属矿山地质环境综合评价中有效可行,为有色金属矿山地质环境调查与评价提供了方法借鉴,为矿山地质环境保护与恢复治理及土地复垦提供了依据。     

Fuzzy‐sliding mode control of nonlinear smart base‐isolated building under earthquake excitation

In this paper, the effectiveness of the fuzzy sliding mode control strategy on three‐dimensional benchmark building with smart base isolation under seismic excitation has been examined. One of the appropriate control theories for such this nonlinear system is the sliding mode control theory; discontinuous sliding mode theory has weakness such as chattering phenomena. In this paper, we used a combination of fuzzy logic and sliding mode theory for the deletion of this defect. The proposed control theory has been scrutinized by applying on lately developed nonlinear three‐dimensional base‐isolated benchmark building. This building because of the three‐dimensional nature, coalescing of lateral and torsional responses, continuity of responses of the superstructure, and base is modeled with three degrees of freedom on every floor. In this building eight actuators assigned only at the base level and in the two directions (x, y). In other words, 16 actuators are located underneath the structure. Furthermore, the base isolation system has been modeled by considering lateral coupled equations for a better examination of the performance of the system. The results indicate that reduction of control performance is remarkable. Also, utilizing proposed control theory can decrease the responses of building in two main directions and, particularly, in the rotational degree of freedom.     

基于FG-MCGDM的水利工程施工进度方案优化

针对水利工程施工进度的多准则群决策问题,提出了一种新的模糊灰色多准则决策模型。该模型基于模糊集理论、灰色关联分析和折衷解的理论方法,将各决策属性和决策者权重的语言变量转化为梯形模糊数;采用改进的 GRA-VIKOR方法对模糊信息群体决策问题进行求解,并对各决策者的群体效益值和个体遗憾值进行聚合;通过折衷解对施工进度方案进行排序,获得最优方案。该模型有效地避免了信息的扭曲和丢失,确保了决策信息的完备性。通过在某水利工程施工进度方案优选的案例分析与计算,证明了该模型的有效性和实用性。     

基于WSR与C-OWA的地铁盾构施工安全管理模糊评价研究

将 WSR 系统方法论引入盾构法地铁项目,从物理（W）—事理（S）—人理（R）3 个维度分析了地铁盾构法施工安全管理系统,构建了以人理为核心的地铁盾构法施工安全管理评价指标体系。运用 C-OWA 算子对指标体系进行客观组合赋权,结合 Fuzzy 理论建立了盾构法地铁施工安全管理评价模型。并运用此模型对青岛地铁 X 号线盾构施工项目进行了实例论证,通过对评价结果的分析从物理、事理、人理 3 个纬度提出了相应的改进措施。     

多元混合模型及模糊综合评判法在水源判别中的应用研究——以云南会泽铅锌矿为例

建立快速有效的水源判别方法对于水害防治工作具有十分重要的意义。文章基于会泽铅锌矿水质数据分别建立了水源判别的多元混合模型及模糊综合评判模型,并对这两种判别方法进行对比分析,结果如下:(1)应用多元混合模型判别水源时,可根据水样来源判别数据组的稳定程度采用不同的处理措施:水样来源判别数据组整体上较为稳定时可运用各含水层对水样指标组合影响程度的平均值确定水样来源,亦可采用各评价指标组合判别结果的概率之和进行判别;水样来源判别数据组稳定性较差时,为保障判别精度,需采用各评价指标组合判别结果的概率之和进行判别。(2)从判别原理上来看,多元混合模型无需建立复杂的隶属函数及模糊矩阵,简单易懂。从判别准确度来看,多元混合模型准确度达100%,而模糊综合评判法则为75%。从适用范围来看,模糊综合评判法适用于具模糊性的边界条件,而多元混合模型的应用则无明显限制条件,适应性更强。因此多元混合模型在水源判别领域具有很大的应用潜力。