Fuzzy m-ary adjacency relations in social network analysis: Optimization and consensus evaluation

The main contribution of this paper consists in extending the ‘soft’ consensus paradigm of fuzzy group decision making developed under the framework of numerical fuzzy preferences. We address the problem of consensus evaluation by endogenously computing the importance of the decision makers in terms of their influence strength in the network. To this aim, we start from centrality measure and combine it with the fuzzy m-ary adjacency relation approach. In this way, we introduce a flexible consensus measure that takes into account the influence strength of the decision makers according to their eigenvector centrality. Moreover, we propose an optimization problem which determines the maximum number of the most important decision makers that share a fixed desirable consensus level.     

Coupled multi-body dynamics and CFD for wind turbine simulation including explicit wind turbulence

A high fidelity approach for wind turbine aero-elastic simulations including explicit representation of the atmospheric wind turbulence is presented. The approach uses a dynamic overset computational fluid dynamics (CFD) code for the aerodynamics coupled with a multi-body dynamics (MBD) code for the motion responses to the aerodynamic loads. Mann's wind turbulence model was implemented into the CFD code as boundary and initial conditions. The wind turbulence model was validated by comparing the theoretical one-point spectrum for the three components of the velocity fluctuations, and by comparing the expected statistics from the CFD simulated wind turbulent field with the explicit wind turbulence inlet boundary from Mann model. Extensive simulations based on the proposed coupled approach were conducted with the conceptual NREL 5-MW offshore wind turbine in an increasing level of complexity, analyzing the turbine behavior as elasticity, wind shear and atmospheric wind turbulence are added to the simulations. Results are compared with the publicly available simulations results from OC3 participants, showing good agreement for the aerodynamic loads and blade tip deflections in time and frequency domains. Wind turbulence/turbine interaction was examined for the wake flow. It was found that explicit turbulence addition results in considerably increased wake diffusion. The coupled CFD/MBD approach can be extended to include multibody models of the shaft, bearings, gearbox and generator, resulting in a promising tool for wind turbine design under complex operational environments.     

水电工程技术标准“走出去”战略管理分析原则与框架模型研究

基于商业生态系统理论视角,在建立水电工程技术标准商业生态系统概念的基础上,本文重点研究和提出了水电标准"走出去"战略管理的四项原则:即适应市场需求与规划先行原则、抓住"走出去"有利时机的原则、服务本土进化共赢和以综合能力应对动态竞争的原则。建立"走出去"战略分析框架模型原则,在战略管理分析框架中提出了"走出去"商业生态系统的适应性演化战略和成长性演化战略,结合水电行业"走出去"特点进行了案例分析。研究成果可为我国水电标准与国际化接轨提供参考。     

GRASP with path relinking for the selective pickup and delivery problem

Bike sharing systems are very popular nowadays. One of the characteristics is that bikes are picked up from some surplus bike stations and transported to all deficit bike stations by a repositioning vehicle with limited capacity to satisfy the demand of deficit bike stations. Motivated by this real world bicycle repositioning problem, we study the selective pickup and delivery problem, where demand at every delivery node has to be satisfied by the supply collected from a subset of pickup nodes. The objective is to minimize the total travel cost incurred from visiting the nodes. We present a GRASP with path-relinking for solving the described problem. Experimental results show that this simple heuristic improves the existing results in the literature with an average improvement of 5.72% using small computing times. The proposed heuristic can contribute to the development of effective and efficient algorithms for real world bicycle reposition operations.     

基于网络治理的大湄公河次区域国际河流水能开发跨境合作研究

大湄公河次区域(GMS)水能开发跨境合作一方面对推动区域经济增长具有重要的战略意义,另一方面也面临着竞争性开发、生态、国际约束及"水政治"等难题。为此,在"搁置争议,共同开发"思想的指导下,研究基于网络治理的GMS水能开发跨境合作,从需求的不确定性、资产专用性、任务复杂性及交易频率等四重维度分析GMS水能开发跨境合作的治理环境,并以此为基础,根据GMS水能开发跨境合作阶段及主要参与主体的不同,构建GMS水能开发合作的具体机制体系,以实现GMS水能开发协调与整合的目标。     

基于证据理论的BOT项目风险评价

BOT是近年来国际上出现的一种新型项目融资管理模式,由于该类项目投资巨大,建设管理周期长,存在众多不确定因素,因此在实施过程中会存在巨大风险。证据理论在风险评价过程中,受人为因素影响较小,可以对BOT风险进行客观、科学的评价。最后通过具体算法证明该模型在评价BOT项目风险的可行性和有效性。     

扬子江城市群工业能源碳排放与经济增长脱钩水平及驱动因素

扬子江城市群地处长江经济带的下游重要门户地区,是江苏省“1+3”重点功能区发展的龙头引擎,打造扬子江城市群的绿色生态走廊对建设“强富美高”新江苏和落实长江大保护均具有重要战略意义。论文聚焦扬子江城市群工业能源碳排放脱钩及其驱动因素分析,研究得出：1）扬子江城市群整体工业碳排放量呈现波动上升的变化趋势,其中南京市和苏州市的碳排放增量明显大于其他城市;2）扬子江城市群工业能源碳排放脱钩大致经历了扩张连接、强脱钩以及弱脱钩3个阶段,整体上脱钩水平逐渐提高,但稳定性不高,各城市工业能源碳排放脱钩水平差异较大,但在逐步优化中;3）从驱动因素看,碳排放强度效应和能源强度效应对脱钩水平有促进作用,工业经济规模效应、区域经济比重和能源结构则相反。基于此,论文提出加强低碳城市试点建设、探索构建全域碳权交易市场、调整优化能源结构、推动科技创新等建议,以促进扬子江城市群工业建设高质量发展。     

基于超效率DEA的房地产业投资绩效评价研究

针对我国房地产业投资结构不合理、投入产出较低的问题,构建了超效率DEA分析模型,并以我国31个省市的房地产业相关数据为样本,对房地产业投资绩效进行评价研究。结果表明:东部沿海地区的房地产业投资绩效相对较高,且处于规模报酬递减阶段;中西部地区的投资绩效较低,且处于规模报酬递增阶段。研究也得出了房地产业投资绩效较低省份的投资冗余和产出不足,为房地产业投资提供了科学的方向和经济合理的改进措施。最后针对房地产业投资绩效较低的问题,提出了一些改进的建议。     

长江经济带环境污染治理投资对生态效率的影响研究

环境污染治理投资是生态环境保护的资金来源，其投资规模和投资形式对生态效率产生着重大影响。本文构建生态效率测度指标和非期望的超效率SBM模型，测定了长江经济带9省2市的生态效率水平，再利用Tobit模型量化研究环境污染治理投资的总量及各投资形式对生态效率的影响程度，得出长江经济带环境污染治理投资对生态效率具有正向影响但影响程度一般，3种环境污染治理投资类型中的当年完成环保验收项目环保投资对生态效率影响程度最大且显著。     

安徽省城市化效率与经济发展水平的耦合协调关系研究

以安徽省16个地级市为研究单元，运用DEA-Malmquist模型和熵值法对安徽省城市化效率和经济发展水平进行综合评价，并构建耦合模型度量安徽省城市化效率和经济发展的耦合协调关系。研究结果表明，安徽省城市化效率的变动主要是技术效率变化引起的，并且各地市的城市化效率具有明显的地域特征。由于历史、人力资本、产业和政策等因素，安徽省各地市经济发展水平存在较大差异；安徽省城市化效率与经济发展水平的耦合情况总体较差，表明两者之间的良性互动作用并不明显。此外，区域之间耦合协调度差异较大，调高整体耦合度，缩小地区之间的差距，促进安徽省城市化与经济协调发展显得十分必要。