Sustainable efficiency drivers in Eurasian airports: Fuzzy NDEA approach based on Shannon's entropy

This research explores the physical infrastructure and flight consolidation efficiency drivers of Eurasian airports regarding their infrastructure and movement productivity levels. A novel Fuzzy Double-Frontier Network DEA (FDFNDEA) model is proposed to investigate the relationship between desirable (freight and passenger turnovers) and undesirable (pollutant emission levels due to aircraft movements) outputs against the respective infrastructure usage, fuel consumed, and movements performed at each of the 23 Eurasian airports from 2000 to 2018. This balance between desirable and undesirable outputs emerges spatially and temporally due to the evolution of the airport system's productive resources at each one of the Eurasian countries over the period observed. Shannon's entropy is used as the cornerstone to quantify the input and output vagueness of this evolution in Triangular Fuzzy Numbers (TFN), thus allowing the accurate building of alternative optimistic and pessimistic double-frontier efficiency. Differently from previous research, Shannon's entropy is the key for measuring input and output vagueness levels in light of the maximal entropy principle. This principle states that the distribution that best represents the current state of knowledge is the one with largest entropy. Maximal entropy yields bias-free decision-making in the sense that the input/output distributional profiles for Eurasian airports contain the maximal possible heterogeneity, working as a robust or best/worst-case scenario against eventual unconsidered assumptions. Hence, optimistic and pessimistic Malmquist Productivity Indexes (MPI) for overall and each stage productivity results are subsequently regressed against contextual variables related to airport characteristics and regional socio-demographic and economic indicators of each Eurasian country using bootstrapped Cauchy regressions. The findings revealed the spatial heterogeneity of productivity factors and airport performance across Eurasia. Results also demonstrated the negative impact of income inequality and the positive impact of private participation on technological progression in the Eurasian airport industry.     

基于粗糙集理论的决策树方法在贷款客户信用评估中的应用

决策树是数据挖掘中常用的分类技术，其生成的规则便于决策者理解和应用。然而面对较多的属性且含有冗余和噪声属性的记录集生成的决策树时，无法删除冗余属性，造成运算过程复杂。本文旨在通过应用粗糙集理论，将其与决策树方法进行结合，对属性进行约简，降低运算复杂度，并生成相对简化的规则形式，并将其应用到银行个人贷款客户信用评估之中。     

甘肃省土地利用结构动态演变及其驱动力分析

在GIS技术支持下,以甘肃省1997--2006年土地利用变更调查数据及相关经济社会统计数据为基础,借助系统论中的信息熵原理,揭示了甘肃省用地结构动态演变特征,阐述了影响土地利用结构动态演变的主要自然、政策等驱动力,最后利用主成分分析方法,对该区用地结构动态演变的经济社会主要驱动因子进行了分析与探讨。     

企业信息化过程中知识转移能力研究

考虑到企业信息化建设过程中知识转移的能力具有灰色性和模糊性的特点,传统的分析方法具有很大的局限性。本文采用基于信息熵权值的多层次灰色评价理论,对信息化过程中知识转移的能力的多级指标体系进行综合评判,为企业提供决策以及改进的依据,最后给出运用该方法的一个实例。该方法具有较强的实际应用价值。     

浅析人力资本的保值与增值

本文从熵的角度解释了人力资本的贬值问题，认为熵与人力资本有着紧密的联系，并从人力资本的生产过程和使用过程两方面提出了人力资本保值与增值的对策。     

基于熵理论的项目组织结构评价与选择

首先分析了系统结构对系统内信息流的影响,从信息的角度对项目组织结构的有序度进行评价,引入了信息流的时效和质量的概念。然后以熵理论为基础,建立了可以进行组织结构优化设计和进行定量评价的时效质量熵模型;并给出了效质有序度的详细计算步骤。最后运用此方法通过有序度来评价某工程公司的线性组织和矩阵组织两种组织形式。     

On Choosing and Bounding Probability Metrics

When studying convergence of measures, an important issue is the choice of probability metric. We provide a summary and some new results concerning bounds among some important probability metrics/distances that are used by statisticians and probabilists. Knowledge of other metrics can provide a means of deriving bounds for another one in an applied problem. Considering other metrics can also provide alternate insights. We also give examples that show that rates of convergence can strongly depend on the metric chosen. Careful consideration is necessary when choosing a metric.     

基于信息熵的山东省入境旅游消费结构演变分析

旅游者的消费结构对一个地区旅游经济的发展有重要意义。通过信息熵的引用，以山东省历年入境旅游者旅游消费结构统计数据为基础，归纳总结了山东省入境旅游者旅游消费特征和演变规律，并对山东省旅游消费结构的发展趋势进行了预测。     

熵指数的可分解特性及其在多元化测度中的应用

熵是对不确定性的度量,被广泛应用于多个学科领域。可分解特性是熵统计量的良好品质,它使事件的总体熵可以分解为类间熵和平均的类内熵。这种特性应用到公司多元化水平的测度中,可以有效地解决多元化指数在统计分析中的多重共线性问题。