军校课堂教学质量的属性综合评价方法

运用属性数学理论对军校课堂教学质量进行综合评价.在建立军校课堂教学质量评价指标体系的基础上,给出了军校课堂教学质量的属性综合评价方法,可为军校教学管理部门以及本科教学评价进行合理地课堂教学质量评价提供决策参考.与一般评价方法相比,属性综合评价方法严谨、精细,评价结果更合理、更可靠.应用实例表明了方法的科学有效性.     

层次分析法在软件系统设计质量评价中的应用

本文提出了一个运用层次分析法对软件系统设计的质量进行评价的方法。该方法提高了对软件系统设计质量评价的有效性、科学性和可操作     

基于模糊综合评价的商务网站质量诊断

高质量网站是企业成功开展电子商务的关键,如何确定影响网站质量的主要因素常常困扰着技术维护人员.鉴于商务网站的复杂性和质量评价的模糊性特点,提出了基于多属性多层次模糊综合评价模型的质量诊断方法,通过对国内某著名商务网站进行质量诊断的算例详细说明了诊断的步骤并验证了该方法的有效性,并讨论了质量评价和诊断系统实施和进一步提高评价结果客观性的方法.     

基于灰色关联度-云模型的群评价数据质量改进方法及应用研究

针对群评价中的数据质量问题, 从评价专家和评价值两个角度进行了异常数据处理, 提出了基于灰色关联度-云模型的群评价数据质量改进方法。基于改进的云距离模型测算被评价对象云和目标云之间的差距, 采用TOPSIS法进行评价排序。将数据质量改进方法和云距离模型用于区域物流竞争力群评价, 改进了群评价的数据质量, 提高了评价结果的稳定性和代表性。     

基于属性数学模型的试卷质量综合评价方法

建立试卷质量综合评价的多级评价指标体系,利用属性数学模型提出试卷质量综合评价的多级属性综合评价方法.与一般评价方法相比,属性综合评价方法严谨、精细,克服了模糊评价法的不足,评价结果更合理、更可靠.应用实例的评价结果与实际相吻合,表明了方法的科学有效性.     

基于成熟度理论的集团企业人力资源管理质量等级评价理论和方法研究

对企业的人力资源管理质量进行评价,有助于促进其人力资源管理质量的持续提升。本文以集团企业为例,基于成熟度理论,研究提出了人力资源管理质量概念框架、成熟度等级,从组织、员工和文化三元视角构建了由5大方面、14个维度、66项指标构成的集团企业人力资源管理质量评价OEC^⑤-66模型,给出了人力资源管理质量评价计算方法、质量等级判断标准,以期为集团企业人力资源管理质量的评价和提升提供科学参考。     

交通运输质量综合评价方法的研究

交通运输业是一个服务特征非常明显的企业，它的生产过程和产品具有一定的特殊性，本根据运输市场规律和生产实际建立了24个指标，以此为基础对运输计划子质量、生产子质量和产品子质量三个子质量进行了定量评价，再以三个子值为基础对运输质量进行了定量综合评价，算例分析表明，该评价方法具有一定的实用价值。     

基于改进的多层次模糊综合评价模型的高校课堂教学质量评价研究

依据模糊数学的理论,构造了一种改进的多层次模糊综合评价模型.通过建立高校课堂教学质量评估指标体系,利用改进的多层次模糊综合评价模型对高校课堂教学质量进行综合评价.实证结果表明,模型具有较好的科学性和实用性,是一种有效地评估高校课堂教学质量的方法.     

基于可拓物元理论的固井质量评价模型研究

测井信息反映的固井质量由于受到多种因素的干扰存在误判的可能性,因此有必要采用其他固井质量评价方法对测井信息反映的固井质量进行验证.采用可拓物元理论建立了固井质量评价的多指标评价模型,给出了根据可拓物元理论计算胶结指数的方法,通过模型可以对测井信息反映的固井质量进行验证,更为真实有效的反映实际固井质量,避免测井信息受其他因素干扰而产生的固井质量误判事故,同时还可以根据该模型在固井作业之前对主要可控影响因素进行优化来提高固井质量。     

各种运输方式客运质量的综合评价研究

在建立各种运输方式客运质量综合评价指标体系的基础上,提出了用于各种运输方式客运质量综合评价的方法——"专家法—信息熵—灰色关联投影法"相结合的组合评价模型,该模型将专家法、信息熵理论和灰色关联决策法有机结合起来.最后根据实际数据对各种运输方式的客运质量加以综合评价并排序比较,验证该方法的合理性和有效可行性.     

Some didactical and Epistemological Considerations in the Design of Educational Software: The Cabri-euclide Example

We propose to use didactical theory for the design of educational software. Here we present a set of didactical conditions, and explain how they shape the software design of Cabri-Euclide, a microworld used to learn “mathematical proof ” in a geometry setting. The aim is to design software that does not include a predefined knowledge of problem solution. Key features of the system are its ability to verify local coherence, and not to apply any global and automatic deduction.     

双物理摆的混沌分析

为了给一种新型振动机的参数设计提供理论依据,将其抽象为双物理摆的力学、数学模型.借助Matlab软件对其振动系统发生的动力学特性进行仿真分析,得到了在给定参数a=0.01,b=0.0218,r=0.04,m1=2.16,m2=3.2,fv=0.1772,Jb=3.4798×10-3下的力学行为的五个混沌特征.     

基于ZigBee技术的黄河河道冰情多点监测系统设计

针对黄河河道冰情的多点监测问题,提出了一种基于ZigBee技术的河道冰层厚度多点监测系统的设计方案,简要介绍了ZigBee技术的主要特点,冰层厚度传感器结构与检测原理,提出了基于ZigBee的黄河河道冰情多点监测系统结构,讨论了监测系统硬件与软件的设计思路,利用系统可以实现黄河河道局部区域内多点冰情远程无人连续自动监测.     

基于软件测试的软件缺陷预测模型

通过对某武器系统软件测试所得缺陷数据与软件规模之间关系的分析,建立了基于软件测试的软件缺陷预测模型.通过本项研究,可以在武器系统软件研制的初期阶段对软件可能含有的缺陷数量和缺陷等级进行预测,为软件研制过程的质量保证活动策划提供依据.     

Estimating the number of undetected software errors via the correlated capture–recapture model

Sometimes a complex software system fails because of errors undiscovered in the design stage of the development process. Detecting these errors early in the process would eliminate many downstream problems. The so-called “capture–recapture” model, initially used by biologists to estimate the size of wildlife populations, has been widely used to estimate the number of software design errors. However, one simplifying assumption in capture–recapture models is that the inspections performed by various inspectors are statistically independent from each other. In the paper, we propose a novel method that is based on the correlation matrix of multiple inspectors. In a numerical analysis, we show that our method outperforms other traditional models that are based on the independence assumption.     

Fuzzy optimization approach to component selection of fault-tolerant software system

In developing software systems, a manager’s goal is to design software using limited resources and meet the user requirements. One of the important user requirements concerns the reliability of the software. The decision to choose the right software modules (components) becomes extremely difficult because of the number of parameters to be considered while making the decision. If suitable components are not available, then the decision process is further complicated with build versus buy decisions. In this paper, we have formulated a fuzzy multi-objective approach to optimal decision “build-or-buy” for component selection for a fault-tolerant modular software system under the consensus recovery block scheme. A joint optimization model is formulated where the two objectives are maximization of system reliability and minimization of the system cost with a constraint on delivery time. An example of developing a retail system for small-and-medium-size enterprises is used to illustrate the proposed methodology.     

Efficiently implementing two methods of the geometrical theory of differential equations: An experience in algorithm and software design

This paper contains an analysis of the two computational schemes for finding the infinitesimal symmetries and conservation laws of arbitrary systems of differential equations. The design of efficient algorithms implementing these computational schemes is described, together with the design of a portable software system, SCoLAr, supporting these algorithms. A test run is listed in the Appendix and the prospect of using the SCoLAr program on middle class personal computers is discussed.     

Optimal component selection based on cohesion & coupling for component based software system under build-or-buy scheme

Component based software system approach is concerned with the system development by integrating components. The component based software construction primarily focuses on the view that software systems can be built up in modular fashion. The modular design is a logical collection of several independent developed components that are assembled with well defined software architecture. These components can be developed in-house or can be obtained commercially from outside market making build versus buy decision an important consideration in development process. Cohesion and coupling (C&C) plays a major role in determining the system quality in terms of reliability, maintainability and availability. Cohesion is defined as the internal interaction of components within the module. On the other hand, coupling is the external interaction of the module with other modules i.e. interaction of components amongst the modules of the software system. High cohesion and low coupling is one of the important criteria for good software design. Intra-modular coupling density (ICD) is a measure that describes the relationship between cohesion and coupling of modules in a modular software system and its value lies between zero and one. This paper deals with the selection of right mix of components for a modular software system using build-or-buy strategy. In this paper, fuzzy bi-criteria optimization model is formulated for component selection under build-or-buy scheme. The model simultaneously maximizes intra-modular coupling density (ICD) and functionality within the limitation of budget, reliability and delivery time. The model is further extended by incorporating the issue of compatibility amongst the components of the modules. A case study is devised to explain the formulated model.     

施工项目中设计风险元传递模型研究

针对设计变更对项目实施的影响,本文将影响施工项目的设计变更原因称为项目的设计风险元,基于广义项目风险元传递理论建立系统动力学模型,动态研究设计风险元传递过程。通过模型模拟分析不同时间、不同程度的设计风险元对项目工期和项目费用影响程度,当设计风险元发生后,设计审批及设计过程将影响项目工期;受施工工序影响设计风险元造成实际施工速度不饱和,使得施工效率低下形成窝工;由于设计风险元导致的返工造成施工项目的工期延误和成本超支。此模型为风险管理者或项目管理者在设计风险管理方面提供了有力依据。