产业集群竞争力构成要素模型研究--以晋江运动鞋产业集群为例

论述了国内对产业竞争力研究的现状,从竞争力构成要素、形成机制要素和外部影响要素三个层面构造产业集群竞争力结构模型,并以晋江运动休闲鞋业集群分析为其佐证,力图对产业集群竞争力的内在规律性有个比较全面的认识     

一种改进的信息检索方法

在数据库系统的基础上，利用模糊数学的方法和工具对传统信息检索进行扩充，从而得到一种改进的信息检索方法。主要包括：提出解决问题的方法、选择实用性强的数据库系统、确定接近于自然语言的隶属函数、构造含模糊化的SQL命令并加以实现。     

机械设备故障监测与诊断系统综述

主要介绍了机械设备故障监测与诊断系统以及故障诊断的常用方法，并分析各种诊断方法的优缺点，最后简要指出了故障诊断技术的发展方向。     

中国城市竞争力与基础设施关系的实证研究

城市竞争力是城市产业创造价值的综合能力，提高城市竞争力必须清楚影响城市竞争力的关键因素，本文提出城市竞争力与基础设施竞争力关系的假说后，选取中国部分城市的样本指标数据，利用主成份分析方法，构造城市竞争力和基础设施竞争力指数，运用模糊曲线分析方法，对理论假说进行了初步的检验分析，结果显示：基础设施是城市竞争力最重要的成或影响力量，技术性基础设计对城市竞争力越来越至关重要。     

基于模糊控制的三相异步电动机的软起动系统

本系统主要通过对模糊控制器的设计 ,将异步电动机的起动电流既限制在了一定的范围内 ,又可得到较大的起动力矩。由于又采用了参数自调整作为辅助控制 ,不但改善了起动时的动态性能 ,而且改善了稳定运行时的静态性能     

Spreads, Depths, and Quote Clustering on the NYSE and Nasdaq: Evidence after the 1997 Securities and Exchange Commission Rule Changes

This paper examines liquidity and quote clustering on the NYSE and Nasdaq using data after the two market reforms—the 1997 order–handling rule and minimum tick size changes. We find that Nasdaq–listed stocks exhibit wider spreads and smaller depths than NYSE–listed stocks and stocks with higher proportions of even–eighth and even–sixteenth quotes have wider quoted, effective, and realized spreads on both the NYSE and Nasdaq. This result differs from the findings by Bessembinder (1999, p. 404) that "trade execution costs on Nasdaq in late 1997 are no longer significantly explained by a tendency for liquidity providers to avoid odd–eighth quotations," and "odd–sixteenth avoidance has little relevance for explaining post–reform Nasdaq trading costs."     

项目团队成员绩效考评研究

项目团队成员绩效考评是项目人力资源管理的关键环节之一，是整个人力资源管理的基础。科学、公正、合理的绩效考评，对团队成员的激励、薪酬、晋升都具有重要意义。引入模糊综合考评理论，在阶段性考评的基础上着眼于对项目成员进行综合绩效考评，为项目绩效考评对项目团队成员进行绩效考评提供一种思维方式。     

模糊决策在房地产建筑方案优选中应用

在房地产开发中建筑方案的决策是一项综合性、专业性、技术性极强的工作。针对以往建筑方案评价的缺陷，归纳总结了，影响方案评价的基本因素，运用模糊决策理论和结合层次分析法，探讨了方案决策的问题，并对实例进行分析。     

Using clustering ensemble to identify banking business models

The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some banks may combine features of different business models, the use of hard clustering methods has often led to poorly identified business models. In this paper we propose a framework to deal with these challenges based on an ensemble of three unsupervised clustering methods to identify banking business models: fuzzy c‐means (which allows us to handle fuzzy clustering), self‐organizing maps (which yield intuitive visual representations of the clusters), and partitioning around medoids (which circumvents the presence of data outliers). We set up our analysis in the context of the European banking sector, which has seen its regulators increasingly focused on examining the business models of supervised entities in the aftermath of the twin financial crises. In our empirical application, we find evidence of four distinct banking business models and further distinguish between banks with a clearly defined business model (core banks) and others (non‐core banks), as well as banks with a stable business model over time (persistent banks) and others (non‐persistent banks). Our proposed framework performs well under several robustness checks related with the sample, clustering methods, and variables used.     

Credibilistic risk aversion

In the probabilistic risk aversion approach, risks are presumed as random variables with known probability distributions. However, in some practical cases, for example, due to the absence of historical data, the inherent uncertain characteristic of risks or different subject judgements from the decision-makers, risks may be hard or not appropriate to be estimated with probability distributions. Therefore, the traditional probabilistic risk aversion theory is ineffective. Thus, in order to deal with these cases, we suggest measuring these kinds of risks as fuzzy variables, and accordingly to present an alternative risk aversion approach by employing credibility theory. In the present paper, first, the definition of credibilistic risk premium proposed by Georgescu and Kinnunen [Fuzzy Inf. Eng., 2013, 5, 399–416] is revised by taking the initial wealth into consideration, and then a general method to compute the credibilistic risk premium is provided. Secondly, regarding the risks represented with the commonly used LR fuzzy intervals, a simple calculation formula of the local credibilistic risk premium is put forward. Finally, in a global sense, several equivalent propositions for comparative risk aversion under the credibility measurement are provided. Illustrated examples are presented to show the applicability of the theoretical findings.