一种基于区间数判断矩阵的群决策新方法

针对基于区间数判断矩阵的群决策问题,提出了一种群决策新方法.借助于集值统计原理,构造了与区间数判断矩阵群信息等价的具有一定可靠度的确定数判断矩阵,建立了计算这类群信息集结值可靠度的模型,运用和积法对所得新判断矩阵进行处理,得到了一种简便的方案排序方法.最后,通过一个算例验证了该方法的有效性和实用性.     

易地扶贫搬迁安置社区的紧张与化解

易地扶贫搬迁安置社区的制度设计,是一种用城市生活取代传统乡土社会生活的逻辑。落实在社区治理实践之中,则常见到形式各异的紧张,主要表现为移民的日常生活与制度之间产生的对立与冲突。以“制度与生活”分析框架解释,能够发现易地扶贫搬迁安置社区治理紧张的原因、表现及正式制度推行的路径依赖。化解易地扶贫搬迁安置社区的治理紧张,一方面正式制度要以开放和包容的态度正视移民搬迁群体的正常诉求,及时进行自我变革;另一方面易地扶贫搬迁社区群众要主动接受制度的规约,尽快实现由传统生活向现代生活的转变。     

并购情境下领导群体原型典型性与下属上向信任的关系——组织身份凸显性的调节作用

基于社会身份理论,在并购情境下,领导的群体原型典型性作为领导群体身份特征的表征,对内群体下属的上向信任存在正向预测作用,即高群体原型典型性的领导更容易获得下属的上向信任。而领导的组织身份凸显性作为领导组织身份特征的表征,负向调节领导的群体原型典型性与上向信任之间的关系。     

我国中等收入群体比重及其特征

中等收入群体的界定标准、规模和特征一直是学术界关注的焦点。在回顾和评述现有各种界定标准的基础上,建议采用全球所有国家收入中位数的67%~200%作为定义我国中等收入群体的上下限。研究发现,近些年我国中等收入群体比重在逐渐提高,从2002年的10%上升到2016年的28.9%,这主要源于我国居民整体收入水平的提高而不是收入分配格局的变化。要扩大我国中等收入群体比重,保持中高速增长至关重要,政策的重点是提“低”而不是限“高”,同时要防范现有的中等收入群体跌落为低收入群体。中等收入群体主要分布在城市地区,收入来源主要是工资性收入,储蓄率偏高,受教育水平明显高于低收入者和贫困人口。中等收入群体的标准下限附近分布着规模客观的低收入者,他们是扩大中等收入者比重的潜在来源,应是政策瞄准的主要对象。     

Nondeliberative Crisis Intervention in Disaster Zones: Social Group Work Using Guided Artwork with Child Survivors

ABSTRACT

Sudden disasters cause devastating loss and trauma. Social groupwork can help heal and empower survivors through the use of nondeliberative practice forms. The authors describe a social group work model using guided artwork activities with child survivors of disasters such as the Indian Ocean Tsunami in 2004 and the 2014 Typhoon Haiyan in the Philippines. The authors also examine the features of nondeliberative theory exemplified through work with artful media in this groupwork context. Features include the use of analogs, representational problem solving, and feedback that takes place in a lived, experiential dimension.     

Workgroup interdependence and satisfaction from a developmental perspective: the moderating role of the group’s life cycle stage / Interdependencia y satisfacción en el grupo de trabajo desde la perspectiva del desarrollo: el rol moderador de la fase del ciclo de vida grupal

From a developmental perspective, workgroups adjust and modify the way they function over time. The present study aims to test, at the group level, the moderating role of the group’s life phase in the relationship between workgroup interdependence ties in terms of task, outcome and functions, assessed by social network density and group satisfaction. A sample of 84 teams from various companies participated in this research. The results showed that the group’s development phase determines the way that outcome interdependence density in teams is associated with satisfaction and reveal the existence of differences between the second and fourth development stages. Therefore, the group’s life cycle stage should be considered as a relevant variable in research and intervention with groups in the workplace.     

新世纪前后中国文学版图中的“宁夏板块”

“宁夏文学”在中国当代文学史上占有一席之地，始于社会主义新时期。20世纪80年代，张贤亮以其饱经沧桑和忧患之后的慷慨悲歌征服了大江南北。张贤亮的小说创作，不仅提升了宁夏文学总体的创作水平，也为宁夏文学在中国文坛赢得了美好声誉。进入20世纪90年代，宁夏文学在略事犹豫和徘徊之后，终于在新世纪前后，再次向中国文坛奉献了“宁夏青年作家群”。这一创作群体的崛起，不仅给新世纪前后的中国文学界吹来一股清新怡人的创作之风，而且，这一与广阔深厚的中国古老土地和“中国经验”血脉相连，并因此取得了不凡文学业绩的青年创作群体的成功，也充分证明，在市场经济条件下，居于偏远地区的文学创作事业，只要领导得法，调动有方，是可以走在全国前列的。     

以学生为中心,加强系列课程教学团队建设——以合肥工业大学为例

高水平的教学团队建设是教育部本科教学质量与教学改革工程的重要内容之一。文章主要介绍信号检测、处理及实现系列课程教学团队建设思路,以学生为中心,注重学习产出,将课堂教学、创新实践和科学研究有机结合,建立健全的运行机制,使之在教学改革中发挥积极有效的作用,促进团队成员的综合素质的提高,保证人才培养的质量。     

Interquantile shrinkage in additive models

In this paper, we investigate the commonality of nonparametric component functions among different quantile levels in additive regression models. We propose two fused adaptive group Least Absolute Shrinkage and Selection Operator penalties to shrink the difference of functions between neighbouring quantile levels. The proposed methodology is able to simultaneously estimate the nonparametric functions and identify the quantile regions where functions are unvarying, and thus is expected to perform better than standard additive quantile regression when there exists a region of quantile levels on which the functions are unvarying. Under some regularity conditions, the proposed penalised estimators can theoretically achieve the optimal rate of convergence and identify the true varying/unvarying regions consistently. Simulation studies and a real data application show that the proposed methods yield good numerical results.