广义参考集DEA模型及其相关性质

由于传统数据包络分析（data envelopment analysis, DEA)方法的“评价参照系”是有效决策单元,即传统DEA方法只能获得和有效决策单元比较的信息,而实际上人们需要比较的对象不仅仅限于“优秀单元”,还可能是“一般单元”（如录取线）、“较差单元”（如可容忍的底线）或者某种特殊单元（如选定的样板、标准或某些特定对象）,而传统DEA方法无法评价这些问题。为此,给出一种适用于上述所有情况的广义DEA方法,并探讨其相关性质,主要包括基本的广义参考集DEA模型和广义DEA有效性概念;广义DEA有效性含义和广义DEA有效性的判断方法;广义参考集DEA方法与传统DEA方法的区别与联系。     

属性值为区间数的决策对象预期理论模型研究

针对属性值为区间数的多属性决策中不同区间数相互比较具有相同可能度的问题进行研究。根据决策者不同的风险偏好将其分为3类,对不同风险偏好类型的决策者提出相应的预期理论模型,确定区间数之间的优势关系。在此基础之上,提出决策对象优势关系及优势度矩阵,并根据优势度数值对决策对象进行排序择优。最后,通过实例验证新排序算法的科学性与有效性。     

Multi-target localization for bistatic MIMO radar in the presence of unknown mutual coupling

A decoupling-estimation signal parameters via rotarional invariance technique(ESPRIT) method is presented for multi-target localization with unknown mutual coupling in bistatic multiple-input multiple-output(MIMO) radar.Two steps are carried out in this method.The decoupling operation between angle and mutual coupling estimates is realized by choosing the auxiliary elements on both sides of the transmit and receive uniform linear arrays(ULAs).Then the ESPRIT method is resilient against the unknown mutual coupling matrix(MCM) and can be directly utilized to estimate the direction of departure(DOD) and the direction of arrival(DOA).Moreover,the mutual coupling coefficient is estimated by finding the solution of the linear constrained optimization problem.The proposed method allows an efficient DOD and DOA estimates with automatic pairing.Simulation results are presented to verify the effectiveness of the proposed method.     

An assignment method for group decision making with uncertain preference ordinals

This paper presents an assignment method to solve the group decision making problem with uncertain preference information. The uncertain preference information is given as uncertain preference ordinals by decision makers. We first address the concept and calculation formulae of preference ordinal frequency, and then, uncertain preference ordinals are transformed into preference ordinal frequencies accordingly. Furthermore, a linear assignment model is built based on the derived preference ordinal frequencies, and the ranking of alternatives can be obtained by solving the model. Finally, a numerical example is used to illustrate the use of the proposed method.     

一种改进的H.264/AVC空时编码方案及仿真实现

传统H.264无线视频传输系统误码率较高并且重建图像质量差,针对此问题提出一种改进方案。传输系统采用H.264编码器和多输入多输出(MIMO:Multiple-input Multiple-output)系统级联的模型:基于不等差错保护思想,在信源端依照优先级顺序将H.264码流分为两部分,利用空时预编码技术的分集优势提升高优先级码流的传输可靠性,同时不改变低优先级码流的误码率,提高了无线传输系统整体性能。仿真结果表明:与传统方案相比,改进方案可以在不提高总发送功率的前提下获得较好的重建图像质量,在低信噪比时,重建图像的平均峰值信噪比可提升近7dB,且检测复杂度适中。     

复杂群决策系统的研究纲领初探

现实生活中复杂群决策问题是普遍存在的,这是由群决策本身的内在属性决定的,不能单纯地认为简单群决策是复杂群决策的一种特例,而仍然沿用处理传统简单群决策的一些理论与方法。如果那样做,必然会降低决策效果。因此,很有必要深入探讨复杂群决策系统的特有决策模式与规律。鉴于此,本文尝试对复杂群决策系统的一些最新研究成果进行总结与梳理,并对复杂群决策系统的研究对象以及理论方法进行归纳分析。     

科技人物档案数字化采集研究

 科技名人档案是中国科技发展历史的活档案,对其进行数字化采集,不仅可以保证采集的全面性、完整性,还可以为档案资料的长期保存和利用奠定良好基础.本文在讨论了科技名人档案采集范围和资料类型基础上,分别研究了文本资料、图形/图像资料、音频资料和视频资料的数字化采集方式、技术指标、数据保存格式等,并结合各类资料的特点、用途,制定了各类资料的采集规范,以保证数字化采集资料的规范性,同时也可为其他类型档案的数字化采集提供依据和帮助.     

一般非线性约束优化问题的信赖域法

通过引进松弛变量和极小化增广 Lagrange 函数的方法,将等式约束的非线性优化问题推广到不等式约束和一般约束的情形,同时将滤子技巧和信赖域法相结合,提出一种求解非线性约束优化问题的信赖域新算法,扩大了算法的适用范围,提高了算法的计算效率,并通过数值试验说明算法的有效性     

电动飞机技术进展

 电动飞机是一种环保、节能、高效的新型航空器。为支持电动飞机发展,需要系统总结和分析电动飞机的设计方法和设计技术。首先,简要介绍了电动飞机的发展概况和技术进展,通过统计数据展示各类电动飞机性能提高的情况并说明其性能不足的方面。重点归纳和分析各类电动飞机的总体设计方法,包括太阳能、蓄电池(锂电池)、燃料电池及常规动力飞机平台改装的电动飞机,以及设计工具和设计支持系统。最后分析电动飞机的设计技术,包括气动力和总体布局、电动力系统、结构和材料等方面。     

Generalization of the linguistic aggregation operator and its application in decision making

A generalization of the linguistic aggregation functions (or operators) is presented by using generalized and quasiarithmetic means.Firstly,the linguistic weighted generalized mean (LWGM) and the linguistic generalized ordered weighted averaging (LGOWA) operator are introduced.These aggregation functions use linguistic information and generalized means in the weighted average (WA) and in the ordered weighted averaging (OWA) function.They are very useful for uncertain situations where the available information cannot be assessed with numerical values but it is possible to use linguistic assessments.These aggregation operators generalize a wide range of aggregation operators that use linguistic information such as the linguistic generalized mean (LGM),the linguistic OWA (LOWA) operator and the linguistic ordered weighted quadratic averaging (LOWQA) operator.We also introduce a further generalization by using quasi-arithmetic means instead of generalized means obtaining the quasi-LWA and the quasi-LOWA operator.Finally,we develop an application of the new approach where we analyze a decision making problem regarding the selection of strategies.