A Large-Scale Group Decision Making Model Based on Trust Relationship and Social Network Updating

With the development of big data and social computing,large-scale group decisionmaking(LGDM)is nowmerging with social networks.Using social network analysis(SNA),this study proposes an LGDM consensus model that considers the trust relationship among decisionmakers(DMs).In the process of consensusmeasurement:the social network is constructed according to the social relationship among DMs,and the Louvain method is introduced to classify social networks to form subgroups.In this study,the weights of each decision maker and each subgroup are computed by comprehensive network weights and trust weights.In the process of consensus improvement:A feedback mechanism with four identification and two direction rules is designed to guide the consensus of the improvement process.Based on the trust relationship among DMs,the preferences are modified,and the corresponding social network is updated to accelerate the consensus.Compared with the previous research,the proposedmodel not only allows the subgroups to be reconstructed and updated during the adjustment process,but also improves the accuracy of the adjustment by the feedbackmechanism.Finally,an example analysis is conducted to verify the effectiveness and flexibility of the proposed method.Moreover,compared with previous studies,the superiority of the proposed method in solving the LGDM problem is highlighted.

Large-Scale Multi-Objective Optimization Algorithm Based on Weighted Overlapping Grouping of Decision Variables

The large-scale multi-objective optimization algorithm(LSMOA),based on the grouping of decision variables,is an advanced method for handling high-dimensional decision variables.However,in practical problems,the interaction among decision variables is intricate,leading to large group sizes and suboptimal optimization effects;hence a large-scale multi-objective optimization algorithm based on weighted overlapping grouping of decision variables(MOEAWOD)is proposed in this paper.Initially,the decision variables are perturbed and categorized into convergence and diversity variables;subsequently,the convergence variables are subdivided into groups based on the interactions among different decision variables.If the size of a group surpasses the set threshold,that group undergoes a process of weighting and overlapping grouping.Specifically,the interaction strength is evaluated based on the interaction frequency and number of objectives among various decision variables.The decision variable with the highest interaction in the group is identified and disregarded,and the remaining variables are then reclassified into subgroups.Finally,the decision variable with the strongest interaction is added to each subgroup.MOEAWOD minimizes the interactivity between different groups and maximizes the interactivity of decision variables within groups,which contributed to the optimized direction of convergence and diversity exploration with different groups.MOEAWOD was subjected to testing on 18 benchmark large-scale optimization problems,and the experimental results demonstrate the effectiveness of our methods.Compared with the other algorithms,our method is still at an advantage.

Numerical and theoretical study of large-scale failure of strata overlying sublevel caving mines with steeply dipping discontinuities

The deformation and fracture evolution mechanisms of the strata overlying mines mined using sublevel caving were studied via numerical simulations.Moreover,an expression for the normal force acting on the side face of a steeply dipping superimposed cantilever beam in the surrounding rock was deduced based on limit equilibrium theory.The results show the following:(1)surface displacement above metal mines with steeply dipping discontinuities shows significant step characteristics,and(2)the behavior of the strata as they fail exhibits superimposition characteristics.Generally,failure first occurs in certain superimposed strata slightly far from the goaf.Subsequently,with the constant downward excavation of the orebody,the superimposed strata become damaged both upwards away from and downwards toward the goaf.This process continues until the deep part of the steeply dipping superimposed strata forms a large-scale deep fracture plane that connects with the goaf.The deep fracture plane generally makes an angle of 12°-20°with the normal to the steeply dipping discontinuities.The effect of the constant outward transfer of strata movement due to the constant outward failure of the superimposed strata in the metal mines with steeply dipping discontinuities causes the scope of the strata movement in these mines to be larger than expected.The strata in the metal mines with steeply dipping discontinuities mainly show flexural toppling failure.However,the steeply dipping structural strata near the goaf mainly exhibit shear slipping failure,in which case the mechanical model used to describe them can be simplified by treating them as steeply dipping superimposed cantilever beams.By taking the steeply dipping superimposed cantilever beam that first experiences failure as the key stratum,the failure scope of the strata(and criteria for the stability of metal mines with steeply dipping discontinuities mined using sublevel caving)can be obtained via iterative computations from the key stratum,moving downward toward and upwards away from the goaf.

Non-Cooperative Behavior Management in Large-Scale Group Decision-Making Considering the Altruistic Behaviors of Experts and Its Application in Emergency Alternative Selection

Emergency decision-making problems usually involve many experts with different professional backgrounds and concerns,leading to non-cooperative behaviors during the consensus-reaching process.Many studies on noncooperative behavior management assumed that the maximumdegree of cooperation of experts is to totally accept the revisions suggested by the moderator,which restricted individuals with altruistic behaviors to make more contributions in the agreement-reaching process.In addition,when grouping a large group into subgroups by clustering methods,existing studies were based on the similarity of evaluation values or trust relationships among experts separately but did not consider them simultaneously.In this study,we introduce a clustering method considering the similarity of evaluation values and the trust relations of experts and then develop a consensusmodel taking into account the altruistic behaviors of experts.First,we cluster experts into subgroups by a constrained Kmeans clustering algorithm according to the opinion similarity and trust relationship of experts.Then,we calculate the weights of experts and clusters based on the centrality degrees of experts.Next,to enhance the quality of consensus reaching,we identify three kinds of non-cooperative behaviors and propose corresponding feedback mechanisms relying on the altruistic behaviors of experts.A numerical example is given to show the effectiveness and practicality of the proposed method in emergency decision-making.The study finds that integrating altruistic behavior analysis in group decision-making can safeguard the interests of experts and ensure the integrity of decision-making information.

Large-Scale Group Decision Making:A Systematic Review and a Critical Analysis

The society in the digital transformation era demands new decision schemes such as e-democracy or based on social media.Such novel decision schemes require the participation of many experts/decision makers/stakeholders in the decision processes.As a result,large-scale group decision making(LSGDM)has attracted the attention of many researchers in the last decade and many studies have been conducted in order to face the challenges associated with the topic.Therefore,this paper aims at reviewing the most relevant studies about LSGDM,identifying the most profitable research trends and analyzing them from a critical point of view.To do so,the Web of Science database has been consulted by using different searches.From these results a total of 241 contributions were found and a selection process regarding language,type of contribution and actual relation with the studied topic was then carried out.The 87 contributions finally selected for this review have been analyzed from four points of view that have been highly remarked in the topic,such as the preference structure in which decision-makers’opinions are modeled,the group decision rules used to define the decision making process,the techniques applied to verify the quality of these models and their applications to real world problems solving.Afterwards,a critical analysis of the main limitations of the existing proposals is developed.Finally,taking into account these limitations,new research lines for LSGDM are proposed and the main challenges are stressed out.

综放开采下组煤首采面上覆老空水探查及突水危险性评价

为了探究左权五里堠煤业上组煤老空区富水性及其对下组煤首采工作面突水的危险性,以下组煤首采面为研究背景,系统分析了研究区上下2组煤层顶底板岩性组合及水文地质条件;根据物探探测结果,在下组煤首采面巷道先后施工了20个探放上组煤老空水钻孔,发现上组煤老空水存在局部水量大、水压高、富水性分布不均的特点。在此基础上,建立了上下组煤层开采顶底板的工程地质数值模型,采用数值模拟方法对上组煤和上下组煤开采完毕后的应力场及塑性区场变化特征进行了对比分析,得到上组煤层开采后底板破坏深度为11 m,下组煤开采后导水裂隙带高度为112 m,没有波及上组煤底板破坏深度范围,与首采面实测涌水量反映的规律是一致的。根据首采面及附近2个钻孔的资料,采用2种相关经验公式类比计算了下组煤开采导水裂隙带高度,优选了可靠性较高的经验公式。

基于NB-IoT的水电站大规模洞室群体智能照明研究

本研究以大型水电站的地下洞室群体照明为对象,针对其在特殊运行环境中的管理需求,研发了一套综合性照明管理系统。该系统充分考虑了洞室群在电力传输、交通、应急逃生、通风换气及生产生活用水等方面关键功能,同时应对由于隧洞布局的复杂性带来的挑战。采用分层分区的控制策略,并整合智能预测与强化学习技术,优化照明布局并实现亮度的动态调节。通过多平台的互联互通以及云平台的数据管控,系统不仅确保了洞室内部工作的有效进行,还注重资源的合理配置和能源的节约,有效地解决了大规模洞室群照明系统在管理控制和能源消耗方面的问题。该系统的实施,为水电站洞室群体管理的高效智能化提供了新的视角,对提高电站的稳定性和安全性有着重要的贡献。

The Diversity of Soil Fauna Communities in the Karst Cave Wetland of Maolan Nature Reserve

From March 2014 to February 2015, the soil fauna community in the karst cave wetland of Maolan Nature Reserve was investigated. A total of 3,820 soil fauna was obtained, belonging to 31 orders, 11 classes, and 3 phyla. The dominant groups were Araneae, Coleoptera and Hymenoptera, accounting for 48.90% of the total catch. There were 18 common groups and 10 rare groups. The diversity analysis showed that the Banzhai karst cave wetland had the largest soil fauna community diversity index and evenness index and that the Dongsai karst cave wetland had the largest number of groups and individuals. The seasonal variation of the soil fauna in the karst cave wetlands was analyzed: the number of soil fauna individuals showed a downtrend in summer, autumn, spring and winter; there were the highest number of phytophagous soil fauna, followed by predatory soil fauna and saprophagous soil fauna.

Behavior of Pile Group with Elevated Cap Subjected to Cyclic Lateral Loads

The pile group with elevated cap is widely used as foundation of offshore structures such as turbines, power transmission towers and bridge piers, and understanding its behavior under cyclic lateral loads induced by waves, tide water and winds, is of great importance to designing. A large-scale model test on 3×3 pile group with elevated cap subjected to cyclic lateral loads was performed in saturated silts. The preparation and implementation of the test is presented. Steel pipes with the outer diameter of 114 mm, thickness of 4.5 mm, and length of 6 m were employed as model piles. The pile group was cyclic loaded in a multi-stage sequence with the lateral displacement controlled. In addition, a single pile test was also conducted at the same site for comparison. The displacement of the pile cap, the internal forces of individual piles, and the horizontal stiffness of the pile group are presented and discussed in detail. The results indicate that the lateral cyclic loads have a greater impact on pile group than that on a single pile, and give rise to the significant plastic strain in the soil around piles. The lateral loads carried by each row of piles within the group would be redistributed with loading cycles. The lateral stiffness of the pile group decreases gradually with cycles and broadly presents three different degradation patterns in the test. Significant axial forces were measured out in some piles within the group, owing to the strong restraint provided by the cap, and finally lead to a large settlement of the pile group. These findings can be referred for foundation designing of offshore structures.

Research on Tourism Development Strategy of Zhaoqing Seven Star Cave Scenic Area in the Context of Guangdong-Hong Kong-Macao Greater Bay Area

The national strategy of"Guangdong-Hong Kong-Macao Greater Bay Area"has replaced the original Pearl River Delta economic circle.As one of them,the economic development of Zhaoqing City ushered in a historic opportunity.Other cities in Greater Bay Area provide sufficient tourist resources for the development of Zhaoqing’s tourism industry.Under the new situation,Seven Star Cave,the leading scenic spot in Zhaoqing,should firmly grasp the national strategic dividend of the"Guangdong-Hong Kong-Macao Greater Bay Area",accelerate the transformation and upgrading,and enhance the market competitiveness.In this paper,the data are collected by nominal group technique,and are integrated into SWOT matrix for analysis.The development strategy of Zhaoqing Seven Star Cave Scenic Area is obtained by matching internal and external factors.

下伏空洞桥梁群桩桩端岩层极限承载力计算方法研究

为探究下伏空洞桥梁群桩桩端岩层的承载机制和破坏模式,进行了单桩及不同桩数群桩的室内模型试验研究,得到了不同桩数群桩桩端岩层的极限承载力和破坏模式。根据下伏空洞桥梁群桩桩端岩层破坏模式的特点将破坏面分为两个部分,结合极限分析法提出了下伏空洞桥梁群桩桩端岩层极限承载力计算方法,理论计算值与室内试验值吻合良好,验证了计算方法的合理性。同时分析了桩端岩层极限承载力随桩数增加的变化规律,可为岩溶区桥梁桩基工程建设提供参考。试验及理论计算结果表明:(1)下伏空洞群桩桩端岩层发生整体冲切破坏时,破坏体整体可视为与单桩破坏体等效的大型墩基;(2)当桩间距较小时,群桩桩端岩层极限承载力随外围基桩外包络线长度增大而增加,当外包络线长度相同时,内部基桩布置方式对群桩桩端岩层极限承载力无影响;(3)群桩效应系数随桩间距的增大而增加,临界桩间距为5d~6d(d为桩径)。

洞桩法导洞开挖方案分析与优化

为了研究开挖方案对地表变形的影响,以北京17号线东大桥地铁车站为例,根据Peck公式采用地表沉降量和沉降槽宽度表征地表变形,采用Midas结合正交设计和回归分析研究采用对称开挖施工时,开挖顺序和开挖错距与地表变形的函数关系,最终得到最优开挖方案。结果表明:先开挖上层后开挖下层,先开挖边导洞后开挖中导洞时,沉降槽宽度最小;先开挖上层后开挖下层,上层采用先中后边,下层采用先边后中的开挖顺序时,地表最大沉降量最小。层间开挖顺序对地表最大沉降量的影响较为显著,上层开挖顺序是沉降槽宽度的主要影响因素。采用沉降槽宽度最小的开挖顺序,综合得出开挖错距与地表变形的函数关系;同时对沉降槽宽度进行优化,得到层间、上层、下层开挖错距依次为4、20、20 m。

和善煤矿“两带”高度数值模拟及实测研究

为探究上位煤层采动影响对下位煤层垮落带及导水裂隙带发育规律的影响,在理论分析的基础上,运用UDEC数值模拟软件,模拟了不同层间距上位煤层底板断裂带深度与下位煤层覆岩“两带”高度变化规律,并以实际工作面为背景,采用双端堵水器对覆岩“两带”高度进行实测。结果表明:9+10号煤垮落带高度为10.6 m,导水裂隙带高度为45.79 m,上位煤层开采对下位煤层导水裂隙带的发育高度存在一定影响,且基本呈负相关趋势,上下两煤层导水裂隙带存在贯通的可能性。

下组煤首采面综放开采受上组煤老空水威胁程度研究

为了探究左权五里堠煤业有限公司上组煤5号煤层老空水是否对下组煤15号煤层首采面综放开采造成突水水害威胁,以下组煤首采面为背景,系统分析了研究区地质及水文地质条件,建立了两煤层开采后顶底板变形破坏空间分布特征模型,提出了老空水是否威胁下组煤综放开采的3个可能条件。在此基础上,采用具有针对性的经验公式和数值模拟相结合的方法,综合获得了下组煤15号煤层首采面最大导水裂隙带高度和上组煤5号煤层底板最大破坏深度量化参数,并与下组煤首采面附近施工的地面钻孔揭露这两层煤间距进行对比。认为下组煤15号煤层开采后,通过导水裂隙带将会波及到上组煤采动底板破坏带内部,在正常条件下可能与上组煤5号煤层老空水导通,建议开采前要进行提前探查和疏放。研究结果对下组煤首采工作面顶板老空水害防治具有很好的参考价值。

特厚煤层连续群组放煤方法初始顶煤放出规律研究

为了阐明特厚煤层群组放煤条件下初始顶煤的放出规律,采用理论分析和数值模拟的方法,研究了放煤口宽度对顶煤放出体形态特征、煤岩分界面演化以及两者空间关系的影响规律。结果表明,在顶煤厚度12m条件下,随着放煤高度与放煤口宽度之比(δ值)的增大,放出体偏心率呈增大趋势,当δ值增大到一定程度后放出体偏心率逐渐趋向于一个稳定值。随着放煤口宽度的增大,单次顶煤放出量和放出效率均有显著提升,初始煤岩分界面影响范围不断增大,而其边界斜率呈降低趋势;放出体与煤岩分界面相切段的高度和范围不断增加,更有利于顶煤的充分放出,顶煤放出体与相邻煤岩分界面的相切特征可作为评估连续群组放煤顶煤放出效果的有效方法。

Many-objective Optimization Method Based on Dimension Reduction for Operation of Large-scale Cooling Energy Systems

Large-scale cooling energy system has developed well in the past decade.However,its optimization is still a problem to be tackled due to the nonlinearity and large scale of existing systems.Reducing the scale of problems without oversimplifying the actual system model is a big challenge nowadays.This paper proposes a dimension reduction-based many-objective optimization(DRMO)method to solve an accurate nonlinear model of a practical large-scale cooling energy system.In the first stage,many-objective and many-variable of the large system are pre-processed to reduce the overall scale of the optimization problem.The relationships between many objectives are analyzed to find a few representative objectives.Key control variables are extracted to reduce the dimension of variables and the number of equality constraints.In the second stage,the manyobjective group search optimization(GSO)method is used to solve the low-dimensional nonlinear model,and a Pareto-front is obtained.In the final stage,candidate solutions along the Paretofront are graded on many-objective levels of system operators.The candidate solution with the highest average utility value is selected as the best running mode.Simulations are carried out on a 619-node-614-branch cooling system,and results show the ability of the proposed method in solving large-scale system operation problems.

抗战时期新安旅行团在桂林的活动贡献研究

新安旅行团是抗战时期著名的儿童革命团体。他们以抗日救亡为宗旨,为实践生活教育思想,走进社会大学校,通过修学旅行的方式在全国进行爱国宣传。该文结合史料,具体论述了新安旅行团在桂林期间广泛地团结爱国力量,开展文艺宣传、岩洞教育、儿童运动、拥军慰问等多项抗战救亡活动。新安旅行团在中华民族危难时期,为促进民族觉醒、宣传革命精神所做出的贡献及其中所表现出的爱国主义精神、集体主义精神与积极进取、团结奋进的革命精神,正是“新旅精神”的体现。对此研究,有利于新时期青少年传承红色基因,坚定理想信念,砥砺品格,实现全面发展。

绥阳双河洞国家地质公园边界优化

双河洞是世界上最长的白云岩洞系,它构成了绥阳双河洞国家地质公园的主体。随着探测长度的持续增长,现行园区边界已不能满足保护与管理的需求。以双河洞空间分布为参考,运用ArcGIS水文与空间分析工具对池武溪流域及周边数字高程模型(digital elevation model,DEM)数据进行数字河网提取、地表流域分割,并综合考虑自然与人文因素,得到如下认识:①园区1∶5万DEM精度下设定1000 m^(2)的汇流累积量阈值模拟出的数字水系与真实水系一致性高;②双河洞系统跨越池武溪地表分水岭,直观反映了地表-地下分水岭不重合的现象;③双河洞系统自2018年就已超越现行地质公园边界以及县级行政区界线,核心地质遗迹保护与管理存在真空地带,园区边界优化调整迫在眉睫;④园区边界应结合双河洞系统发育界限预判为考量适时进行动态调整,并提出了初步的优化定界方案;⑤未来应加强双河洞区域的示踪试验,更加明确地下分水岭范围,以更加科学、完整地划定园区边界。

大理巍宝山长春洞壁画调查与图像分析

大理巍宝山长春洞保存着清代初期西南道教建筑壁画的样貌,既有传统道教壁画题材,又有区域民族视觉形象,是研究西南道教、民族、艺术及文化交融的重要遗产。本文通过两年的田野调查发现,长春洞壁画将动态造型的神仙形象、经典叙事的民俗故事、具有装饰性与寓意的山水花鸟和体现文化认同的彝族生活内容,作为建构“洞天福地”的重要图像要素。其壁画风格成因有三:人与自然关系的表达;多民族交融的产物;巍山左氏土官的重视。长春洞壁画为研究西南民族的艺术创造和道教文化的传播与发展,提供了不可多得的历史图像和研究素材,既直观证明了清代西南民族文化的多样性与交融性,又是今日中华民族“多元一体”可视性的历史材料和艺术证据。

某抽水蓄能电站地下厂房洞室群设计

抽水蓄能电站主要承担调峰、填谷、储能、调频、调相和事故备用六大基本功能。与常规水电站相比,它具有双向水流、水头高、内水压力大、机组吸出高度大、安装高程低等特点,地下厂房能很好地利用上述特点。对某抽水蓄能电站地下厂房洞室群设计进行介绍,从工程地质、主厂房洞、主变洞、母线洞、交通洞、通风兼出线洞、排风支洞、排风竖井、排水廊道等方面进行详细介绍,可为类似工程布置提供参考。