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CONFLICT MEASURE MODEL FOR LARGE GROUP DECISION BASED ON INTERVAL INTUITIONISTIC TRAPEZOIDAL FUZZY NUMBER AND ITS APPLICATION

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Journal of Systems Science and Systems Engineering 2013年第4期22卷 487-498页

作者： Xuanhua XU JoongHo AHN Xiaohong CHEN yanju zhou School of Business Central South University College of Business Administration Seoul National University

The problem of measuring conflict in large-group decision making is examined with every decision preference expressed by multiple interval intuitionistic trapezoidal fuzzy numbers （IITFNs）. First, a distance measurement between two IITFNs is given and a function of conflict between two members of the large group is proposed. Second, members of the large group are clustered. A measurement model of group conflict, which is applied to aggregating large-group preferences, is then proposed by employing the conflict measure of clusters. Finally, a simulation example is presented to validate the models. These models can deal with the preference analysis and coordination of a large-group decision, and are thus applicable to emergency group decision making.

关键词： Interval intuitionistic trapezoidal fuzzy number large group decision making conflict measure

A MULTI-ATTRIBUTE LARGE GROUP EMERGENCY DECISION MAKING METHOD BASED ON GROUP PREFERENCE CONSISTENCY OF GENERALIZED INTERVAL-VALUED TRAPEZOIDAL FUZZY NUMBERS

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Journal of Systems Science and Systems Engineering 2015年第2期24卷 211-228页

作者： Xuanhua Xu Chenguang Cai Xiaohong Chen yanju zhou School of Business Central South University

In this paper, a new decision making approach is proposed for the multi-attribute large group emergency decision-making problem that attribute weights are unknown and expert preference information is expressed by generalized interval-valued trapezoidal fuzzy numbers （GITFNs）. Firstly, a degree of similarity formula between GITFNs is presented. Secondly, expert preference information on different alternatives is clustered into several aggregations via the fuzzy clustering method. As the clustering proceeds, an index of group preference consistency is introduced to ensure the clustering effect, and then the group preference information on different alternatives is obtained. Thirdly, the TOPSIS method is used to rank the alternatives. Finally, an example is taken to show the feasibility and effectiveness of this approach. These method can ensure the consistency degree of group preference, thus decision efficiency of emergency response activities can be improved.

关键词： Generalized interval-valued trapezoidal fuzzy numbers large group decision making,group preference consistency emergency response

Theoretical Analysis of the Buckling Behaviors of Inhomogeneous Shape Memory Polymer Composite Laminates Considering Prestrains

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Acta Mechanica Solida Sinica 2024年第2期37卷 271-284页

作者： Hanxing Zhao Pengyu Cao Fengfeng Li Xin Lan Liwu Liu yanju Liu Jinsong Leng Centre of Composite Materials and Structures Harbin Institute of Technology(HIT)Harbin150080China Department of Astronautical Science and Mechanics Harbin Institute of Technology(HIT)Harbin150001China

The mismatch in thermal expansion coefficients between the fiber-rich and resin-rich regions of a shape memory polymer composite(SMPC)laminate,along with the residual strain during SMPC fabrication,results in buckling deformation of the inhomogeneous *** paper presents a macroscopic model for buckling of an inhomogeneous SMPC laminate under initial biaxial *** linear and nonlinear buckling analyses are carried out using the energy *** influences of prestrain biaxiality,temperature,and ply angle on the buckling wavelength,critical buckling prestrain,and buckling amplitude are *** results demonstrate that the critical buckling wavelength of the SMPC laminate is independent of the prestrain,while the amplitude is almost independent of *** addition,the optimal fiber stacking configuration with the maximum critical buckling prestrains of inhomogeneous SMPC laminates is determined by a genetic algorithm.

关键词： Shape memory polymer composite Buckling behavior Inhomogeneous laminate Biaxial prestrains

降价或产品升级?智能音箱行业平台企业质量投资与补贴策略研究

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管理工程学报 2023年第5期37卷 238-246页

作者：周艳菊张杰王宗润中南大学商学院湖南长沙410083

作为智能家居的控制枢纽和家庭人机交互的切入点,智能音箱持续吸引国内外巨头布局投资。然而,对于连接制造商与消费者的智能音箱平台企业而言,产品定价乱与质量创新难始终是其盈利痛点与补贴难点。本文基于双边市场理论与Hotelling模型... 详细信息

作为智能家居的控制枢纽和家庭人机交互的切入点,智能音箱持续吸引国内外巨头布局投资。然而,对于连接制造商与消费者的智能音箱平台企业而言,产品定价乱与质量创新难始终是其盈利痛点与补贴难点。本文基于双边市场理论与Hotelling模型,构建智能音箱平台双边补贴决策模型,探讨不同市场竞争与双边成员归属情形下,智能音箱平台企业在质量投资与价格补贴之间的关键权衡。结果表明:垄断情形下,当制造商受益于交叉网络外部性时,平台企业反而应该提高消费端价格;对称竞争情形下,质量投资与价格补贴的相互作用消失;当消费者规模较小时,平台企业应提高产品质量并选择差异化战略以巩固市场地位;相较双边成员单归属情形,成员多归属可能导致平台企业补贴策略低效。此外,数值结果分析了交叉网络外部效应、竞争系数、佣金比例等因素对产品价格、质量、补贴效率的影响。研究结论丰富了双边市场理论成果,并为智能音箱平台企业破解补贴困境提供了科学思路。

关键词：智能音箱双边市场质量投资补贴

考虑供应链上游社会责任履行的供应链协调机制研究

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系统工程理论与实践 2023年第9期43卷 2502-2516页

作者：赖红珍周艳菊陈晓红胡春华中南大学商学院长沙410083 湖南工商大学前沿交叉学院长沙410205 湖南工商大学人工智能与先进计算研究院长沙410205

随着“血汗工厂”“环境污染”“儿童奴工”等事件频频爆出,当今企业需要从单一追求短期经济效益转向履行社会责任,从而实现企业高质量可持续发展.聚焦如何协调品牌商和供应商共同参与履行供应链上游社会责任,考虑了消费者的亲社会属性... 详细信息

随着“血汗工厂”“环境污染”“儿童奴工”等事件频频爆出,当今企业需要从单一追求短期经济效益转向履行社会责任,从而实现企业高质量可持续发展.聚焦如何协调品牌商和供应商共同参与履行供应链上游社会责任,考虑了消费者的亲社会属性和参考效应,采用微分博弈方法构建了品牌商和供应商分散化决策、集中决策和单边成本分担契约三种模式的决策模型,设计了双边成本分担和收益共享契约,实现了供应链的完美协调.研究发现:1)亲社会性消费者比例的增加会倒逼品牌商和供应商提高社会责任履行努力,但消费者过度依赖品牌商誉判定品牌商供应链上游的社会责任履行水平会降低供应链成员履行社会责任的积极性.2)单边成本分担契约激励供应商提高了社会责任履行努力,且未影响品牌商的社会责任履行努力.契约刺激了品牌商誉和消费者参考价格的提升,促使品牌商和供应商利润的增加.而且,当消费者参考品牌商供应链上游社会责任履行水平效应对参考价格形成影响较大时,该契约下的参考价格反而高于集中决策模式.然而,该契约难以推动品牌商和供应商共同提高社会责任履行努力,无法实现供应链总利润的最大化.3)当品牌商的收益分享比例处于中等水平时,可以促使品牌商和供应商都参与双边成本分担和收益共享契约,并实现供应链的完美协调.

关键词：社会责任亲社会性参考效应供应链协调微分博弈

Apolipoprotein E4 interferes with lipid metabolism to exacerbate depression-like behaviors in 5xFAD mice

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Animal Models and Experimental Medicine 2024年第3期7卷 347-361页

作者： yanju Gong Mingfeng Li Min Liu Xinghan Wu Yanhong Li Chuan Qin Ling Zhang iNHC Key Laboratory of Human Disease Comparative Medicine Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesInternational Center for Technology and lnnovation of Animal ModelComparative Medicine CenterInstitute of Laboratory Animal SciencesChinese Academy of Medical Sciences(CAMS)and Peking Union Medical College(PuMC)BeijingChina Changping National Laboratory(CPNL) BeijingChina

Background:Apolipoprotein E4(ApoE4)allele is the strongest genetic risk factor for late-onset Alzheimer's disease,and it can aggravate depressive symptoms in non-AD ***,the impact of ApoE4 on AD-associated depression-l ike behaviors and its underlying pathogenic mechanisms remain ***:This study developed a 5xFAD mouse model overexpressing human ApoE4(E4FAD).Behavioral assessments and synaptic function tests were conducted to explore the effects of ApoE4 on cognition and depression in 5xFAD *** in peripheral and central lipid metabolism,as well as the levels of serotonin(5-HT)andγ-aminobutyric acid(GABA)neurotransmitters in the prefrontal cortex,were *** addition,the protein levels of 24-dehydrocholesterol reductase/glycogen synthase kinase-3 beta/mammalian target of rapamycin(DHCR24/GSK3β/m TOR)and postsynaptic density protein 95/calmodulin-dependent protein kinase II/brain-derived neurotrophic factor(PSD95/CaMK-II/BDNF)were measured to investigate the molecular mechanism underlying the effects of ApoE4 on AD ***:Compared with 5xFAD mice,E4FAD mice exhibited more severe depressionlike behaviors and cognitive *** mice also exhibited increased amyloid-beta deposition in the hippocampus,increased astrocyte numbers,and decreased expression of depression-related neurotransmitters 5-HT and GABA in the prefrontal ***,lipid metabolism disorders were observed in E4FAD,manifesting as elevated low-density lipoprotein cholesterol and reduced high-density lipoprotein cholesterol in peripheral blood,decreased cholesterol level in the prefrontal cortex,and reduced expression of key enzymes and proteins related to cholesterol synthesis and *** expression of proteins related to the DHCR24/GSK3β/m TOR and PSD95/CaMK-II/BDNF pathways was also ***:This study found that ApoE4 overexpression exacerbates depressionlike behaviors in 5xFAD mice and confirmed that ApoE4 reduces co

关键词： 5xFAD mice Alzheimer's disease ApoE4 allele depression like

Parallel Physics-Informed Neural Networks Method with Regularization Strategies for the Forward-Inverse Problems of the Variable Coefficient Modified KdV Equation

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Journal of Systems Science & Complexity 2024年第2期37卷 511-544页

作者： zhou Huijuan School of Science Shanghai Maritime UniversityShanghai 201306China

This paper mainly introduces the parallel physics-informed neural networks(PPINNs)method with regularization strategies to solve the data-driven forward-inverse problems of the variable coefficient modified Korteweg-de Vries(VC-MKdV)*** the forward problem of the VC-MKdV equation,the authors use the traditional PINN method to obtain satisfactory data-driven soliton solutions and provide a detailed analysis of the impact of network width and depth on solving accuracy and ***,the author finds that the traditional PINN method outperforms the one with locally adaptive activation functions in solving the data-driven forward problems of the VC-MKdV *** for the data-driven inverse problem of the VC-MKdV equation,the author introduces a parallel neural networks to separately train the solution function and coefficient function,successfully addressing the function discovery problem of the VC-MKdV *** further enhance the network’s generalization ability and noise robustness,the author incorporates two regularization strategies into the *** amount of numerical experimental data in this paper demonstrates that the PPINNs method can effectively address the function discovery problem of the VC-MKdV equation,and the inclusion of appropriate regularization strategies in the PPINNs can improves its performance.

关键词： Data-driven forward-inverse problems parallel physics-informed neural networks regularization strategies variable coefficient modified KdV equation

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Deep-reinforcement-learning-based UAV autonomous navigation and collision avoidance in unknown environments

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Chinese Journal of Aeronautics 2024年第3期37卷 237-257页

作者： Fei WANG Xiaoping ZHU zhou zhou Yang TANG School of Astronautics Northwestern Polytechnical UniversityXi’an 710072China School of Aeronautics Northwestern Polytechnical UniversityXi’an 710072China

In some military application scenarios,Unmanned Aerial Vehicles(UAVs)need to perform missions with the assistance of on-board cameras when radar is not available and communication is interrupted,which brings challenges for UAV autonomous navigation and collision *** this paper,an improved deep-reinforcement-learning algorithm,Deep Q-Network with a Faster R-CNN model and a Data Deposit Mechanism(FRDDM-DQN),is proposed.A Faster R-CNN model(FR)is introduced and optimized to obtain the ability to extract obstacle information from images,and a new replay memory Data Deposit Mechanism(DDM)is designed to train an agent with a better *** training,a two-part training approach is used to reduce the time spent on training as well as retraining when the scenario *** order to verify the performance of the proposed method,a series of experiments,including training experiments,test experiments,and typical episodes experiments,is conducted in a 3D simulation *** results show that the agent trained by the proposed FRDDM-DQN has the ability to navigate autonomously and avoid collisions,and performs better compared to the FRDQN,FR-DDQN,FR-Dueling DQN,YOLO-based YDDM-DQN,and original FR outputbased FR-ODQN.

关键词： Faster R-CNN model Replay memory Data Deposit Mechanism(DDM) Two-part training approach Image-based Autonomous Navigation and Collision Avoidance(ANCA) Unmanned Aerial Vehicle(UAV)

Oxidation of emerging organic contaminants by in-situ H_(2)O_(2) fenton system

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Green Energy & Environment 2024年第3期9卷 417-434页

作者： Yuqin Ni Chuxiang zhou Mingyang Xing Yi zhou State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes School of Resources&Environmental EngineeringEast China University of Science and TechnologyShanghai200237China Key Laboratory for Advanced Materials and Institute of Fine Chemicals National Engineering Laboratory for Industrial Wastewater TreatmentSchool of Chemistry and Molecular EngineeringEast China University of Science and Technology130 Meilong RoadShanghai200237China Department of Applied Natural Sciences Technische Hochschule LubeckMonkhofer Weg 23923562 LubeckGermany

The existence and risk of emerging organic contaminants(EOCs)have been under consideration and paid much effort to degrade these *** system is one of the most widely used technologies to solve this *** original Fenton system relies on the hydroxyl radicals produced by Fe(Ⅱ)/H_(2)O_(2) to oxidize the organic ***,the application of the Fenton system is limited by its low iron cycling efficiency and the high risks of hydrogen peroxide transportation and *** introduction of external energy(including light and electricity etc.)can effectively promote the Fe(Ⅲ)/Fe(Ⅱ)cycle and the reduction of oxygen to produce hydrogen peroxide in *** review introduces three in-situ Fenton systems,which are electro-Fenton,Photo-Fenton,and chemical *** mechanism,influencing factors,and catalysts of these three in-situ Fenton systems in degrading EOCs are discussed *** review strengthens the understanding of Fenton and in-situ Fenton systems in degradation,offering further insight into the real application of the in-situ Fenton system in the removal of EOCs.

关键词： In-situ H_(2)O_(2)production Fenton Emerging organic contaminants Photocatalysis Electrocatalysis