“一带一路”倡议下的光伏项目投资风险评估研究--以乌兹别克斯坦共和国某光伏项目为例

随着全球对“碳中和”概念的逐渐认可,光伏将成为我国在“一带一路”倡议下可以输出的一种可靠项目,因此对光伏项目的投资风险评估研究就具有现实意义和必要性。通过实际调研和资料查阅,构建了“一带一路”倡议下的光伏项目风险评估指标体系,总结了光伏项目风险的主要四个来源。将之与TOPSIS法和灰色关联度分析法进行有效结合,建立了风险评估模型,并以乌兹别克斯坦的光伏投资项目为例进行定量分析,验证了所建立的风险评估指标体系和评估模型的合理性与实用性,分析找出风险来源,为管理其风险提供参考。     

政府绩效审计“阶梯型”评价模式的构建与应用——以BRT公共交通投资项目为例

构建一套政府公共交通投资项目绩效审计评价模式是提高政府公共交通投资项目绩效审计效率和审计质量的关键,然而目前业界尚未对此形成统一认识。论文基于平衡计分卡理论从资源配置、职能行使、潜力发挥和贡献效益四个维度,构建了“阶梯形”政府公共交通投资项目绩效审计评价模式,并通过模糊评价对某市BRT项目调研数据对该模式进行了验证。     

信用平稳下商业银行信用风险测度模型及应用——基于模糊综合评判法

科学高效的商业银行信用风险测度模型,是实现商业银行信用风险监测目标的重要保障。商业银行信用风险主要来源于贷款企业层面,贷款企业信用质量状况将对应着商业银行信用风险水平。对此,从贷款企业的财务与非财务两个层面设计信用风险的测度指标体系,运用模糊综合评判法构建信用平稳下商业银行信用风险测度模型,并给出信用风险测度模型的应用实例。研究发现,在信用平稳下,依赖于专家评判及打分方式,使得模糊综合评判法对于解决商业银行信用风险测度问题具有很好的操作便利性;也可为我国商业银行体系构建科学高效的信用风险监测机制提供重要的理论指导与决策参考。     

基于缺陷扣分法与模糊理论相结合的GIS数据质量评价——以基本农田成果数据为例

本文通过对GIS数据评价的因素进行分析,改善专家综合评语所得到的模糊关系矩阵。以基本农田调查数据库为基础,运用缺陷扣分的方法,对各因素集进行打分评判,计算出各因子在产品质量等级中所占有比重,结合专家综合评语,得到较准确的模糊关系矩阵。通过层次分析法计算出各因素的权重分配,根据模糊矩阵合成规则合成模型,依照最大隶属原则,得出最终的评价结论。     

和谐社会评价指标体系与评价模型及其应用

根据和谐社会的内涵与特征,选取4个方面18个评价指标组成层次结构指标体系,引入模糊隶属函数对各指标进行无量纲化处理,利用因子分析法确定各级指标权重,构建模糊综合评价模型对我国社会和谐度进行综合评价,并对评价结果进行分析。结果显示,我国社会总和谐度处于一般和较高之间,离全面建设社会主义和谐社会的目标仍有一定的距离。     

Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling

Indian apparel retail industry is on a complete transformation journey and trying to evolve as an organized industry. It is very common to find the disruption factors in every business and the ways to mitigate and manage them is of current research interest. The paper discusses the selective risks associated with the apparel retail supply chains in India by structural analysis of the controllable risks that are identified. The work also reveals the use of Interpretative Structural Modeling (ISM) to establish the interdependencies between these risks spread across various supply chain functions of retail industry. The relationships are established based on expert opinions using Delphi technique followed by ISM modeling technique and Fuzzy MICMAC analysis. It also classifies the risk factors based on their driving and dependence power. ISM is proved to be a useful tool to help understand the impact of risks at stages of retail supply chain. Globalization, labor issues and security and safety of resources turns out to be the strong drivers of other supply chain uncertainties. The domino effect of these risks leads to financial crises for the organization.The paper also proposes a new model for the Risk Priority Number (RPN) calculation using ISM and Fuzzy MICMAC methodology for the applications in retail and various other domain risk studies. The sample size of experts is small and to remove the biasness of opinion, the model can be further validated using Structural Equation Modeling (SEM) in the future. The outcome would help practicing managers to analyze and to take actions for managing the factors by improving the bottom line of the organization by proper utilization of resources.     

Agility index in the supply chain

To achieve a competitive edge in the rapidly changing business environment, companies must align with suppliers and customers to streamline operations, as well as working together to achieve a level of agility beyond individual companies. Consequently, agile supply chains are the dominant competitive vehicles. Embracing agile supply chain requires asking some important questions, namely: what exactly is agility and how can it be measured? Moreover, how can agility be effectively achieved and enhanced? Due to the ambiguity of agility assessment, most measures are described subjectively using linguistic terms. Thus, this study develops a fuzzy agility index (FAI) based on agility providers using fuzzy logic. The FAI comprises attribute’ ratings and corresponding weights, and is aggregated by a fuzzy weighted average. To illustrate the efficacy of the method, this study also evaluates the supply chain agility of a Taiwanese company. This evaluation demonstrates that the method can provide analysts with more informative and reliable information for decision.     

Fuzzy measurement of income inequality: Some possibility results on the fuzzification of the lorenz ordering

Summary This paper starts from the premise that the concept of income inequality is ill-defined, and hence, it studies the measurement of income inequality from a fuzzy set theoretical point of view. It is argued that the standard (fuzzy) transitivity concepts are not compatible with fuzzy inequality orderings which respect Lorenz ordering. For instance, we show that there does not exist a max-min transitive fuzzy relation on a given income distribution space which ranks distributions unambiguously according to the Lorenz criterion whenever they can actually be ranked by it. Weakening the imposed transitivity concept, it is possible to escape from the noted impossibility theorems. We introduce some alternative transitivity concepts for fuzzy relations, and subsequently, construct a class of fuzzy orderings which preserve Lorenz ordering and satisfy these alternative transitivities. It is also shown that fuzzy measurement can be used to construct confidence intervals for the crisp conclusions of inequality indices.I wish to thank Ashish Banerjee, Kaushik Basu, Larry Blume, Gary Fields, Semih Koray, Tapan Mitra, Antony Shorrocks, Sinan Unur and two anonymous referees of this journal for insighthul comments and suggestions. I am also grateful to the participants of the 1993 Midwest Mathematical Economics Conference held in University of Wisconsin at Madison and the 2nd International Meeting of the Society for Social Choice and Welfare held in University of Rochester.     

Applying fuzzy quality function deployment (QFD) to identify solutions of service delivery system for port of Kaohsiung

The main purpose of this paper is to apply fuzzy quality function deployment (QFD) model to identify solutions of service delivery system (SDS) for port of Kaohsiung from the viewpoints of customers. At first, to facilitate the main issue of the QFD problem, however, the ‘what’ question of customer needs and ‘how’ problem of the services have to be made, which are two major components and be emphasized on the house of quality (HOQ) matrices. In conjunction with fuzzy sets theory, hence, the systematic procedures using fuzzy QFD were proposed in this paper. Subsequently, a case study for port of Kaohsiung demonstrated the systematic appraisal process for identifying solutions of SDS. The results of empirical study show that (1) 10 key factors are deemed as to have priority to improve the quality of SDS for Kaohsiung port; and (2) eight feasible solutions for improving service quality performance are identified. Moreover, it is suggested that port Authority of Kaohsiung should listen attentively the voice of customers and emphasize on exploiting these customer requirements effectively. And then develop the ‘how’ issues of profiles of solutions, which should continuously strengthen the perspectives of customer, internal business process, and learning and growth, respectively.     

数字技术应用情境下如何提升企业创新效应? 协同自发抑或协同响应

数字技术能够对组织协同创新活动以及数字经营环境产生差异化影响,重塑企业创新效应形成机制与实践路径。因此,深入探究数字技术与组织、环境间的联动交互及组态匹配关系对特质各异的企业协同创新路径研究具有重要意义。基于协同视角构建数字技术应用情境下的TOE分析框架,通过对64家数字密集型企业进行模糊集定性比较分析,结果表明：组织与数字技术在多主体协同过程中的交互方式主要分为协同自发与协同响应,具体包含4种组态类型。协同自发方式主要包括以高层次人才为主导的人才驱动型与以组织开放度为主导的文化引领型;协同响应方式主要包括以地区经济发展水平为主导的需求推动型与以政府注意力分配为主导的政策拉动型。结论能够为解释企业创新应用数字技术提供新的理论视角,为不同技术条件与资源禀赋的企业提供针对性协同策略,为我国协同创新实践提供新的优化路径,为推动数字经济高质量发展提供新的指导方向。