基于模糊层次分析法的房地产投资决策研究

房地产投资项目本身具有一定的模糊性,采用模糊层次分析法,建立模糊一致矩阵,判断各方案在各指标下的权重,然后进行排序,为企业的投资决策提供参考。文章以陕西省某房地产企业选址投资为例,验证了此模型的合理性与可行性。     

双平行线阵的快速一维DOA估计

针对传统子空间算法需要进行特征值分解或奇异值分解等复杂计算的问题,提出一种双平行线阵（Double Parallel Linear Array,DPLA）的快速一维波达方向（Direction of Arrival,DOA）估计算法。算法通过处理互协方差矩阵的第一列元素构造出等效的噪声子空间,再通过求根MUSIC（Multiple Signal Classification）算法得到DOA估计,有效避开了特征值分解或奇异值分解,降低了计算复杂度,提高了运算速度。仿真结果表明,该算法在提高了估计精度的同时减少了估计时间。     

数字化、专业化模式转型与企业生存风险

数字化、专业化转型是企业实现高质量发展的关键。并表近年上市公司数据,采用半参数Cox估计方法构建企业生存风险函数,分解企业生产经营的内部控制与外部环境因素。研究发现,专业化转型确实能延长企业的生存周期,而数字化转型却产生了背离预期现实的结果,即数字化转型一定程度上增加了企业的生存风险。因而,企业应注重内部人员管控能力与企业经营能力,地方政府应提升并优化营商环境,进而发挥专业化与数字化转型的市场潜力。     

Fuzzy Chronic Poverty: A Proposed Response to Measurement Error for Intertemporal Poverty Measurement

A number of chronic poverty measures are now empirically applied to quantify the prevalence and intensity of chronic poverty, vis‐à‐vis transient experiences, using panel data. Welfare trajectories over time are assessed in order to identify the chronically poor and distinguish them from the non‐poor, or the transiently poor, and assess the extent and intensity of intertemporal poverty. We examine the implications of measurement error in the welfare outcome for some popular discontinuous chronic poverty measures, and propose corrections to these measures that seeks to minimize the consequences of measurement error. The approach is based on a novel criterion for the identification of chronic poverty that draws on fuzzy set theory. We illustrate the empirical relevance of the approach with a panel dataset from rural Ethiopia and some simulations.     

家族企业代际传承影响企业经营绩效的路径*——基于跨代转型创业与继承人社会资本的视角

本文研究了家族企业代际传承对企业经营绩效的影响路径。基于2004—2015年间已完成代际传承的中国上市家族企业,本文从跨代转型创业视角考察代际传承对企业经营绩效的影响路径,并考察继承人社会资本的调节作用。研究发现：代际传承会导致企业经营绩效下降,跨代转型创业在上述过程中发挥中介作用。同时,继承人的社会资本会加强上述消极影响。跨代转型创业对企业经营绩效的消极影响会逐年减弱,且继承人的社会资本对此消极影响有削弱作用。     

Calculating Cumulants of a Taylor Expansion of a Multivariate Function

A method, which we believe is simpler and more transparent than the one due to McCullagh (1984) , is described for obtaining the cumulants of a scalar multivariate stochastic Taylor expansion. Its generalisation is also suggested. An important feature, previously not reported, is that the expansion of every cumulant of order ≥ 2 is made up of separate subseries.
In order to handle certain frequently occurring sums over permutations of members of compound index sets, we introduce a new notation  [ m ]_*,  where   m   is a positive integer.     

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.     

基于模糊层次综合法的多式联运虚拟企业风险评价

通过虚拟企业的经营方式将多式联运企业整合起来,可以提高我国多式联运产业的规模化、标准化,实现企业自身功能资源与空间的超越,提高运输效率与效益。在多式联运虚拟企业的组建与运营管理过程中,存在各种风险。文章将系统分析多式联运虚拟企业所面临的风险,并利用模糊层次综合法对多式联运虚拟企业的风险进行评价,以提高多式联运企业风险评价的准确性与科学性。