创业企业家才能多级模糊评价研究

应用多级模糊理论，尝试对风险投资中创业企业家才能进行综合评价。结果发现．该方法是一种行之有效的综合评价方法．其原理简单，算法简洁，评价结果有一定的可靠性和实用性．从而为更客观地评价创业企业家才能提供一种新的方法和思路。     

Developing Reflective Practice in Information Systems Development: Further Progress on the Gestation of an Evaluative Framework

It is argued in this paper that evaluative activities in relation to systems development have traditionally focussed on the financial worth of the product. This approach has excluded the appraisal of important issues such as the process for building the product, the performance of the systems development team, the methods used and the organisational impact of the implemented System. In response to the traditional approach, which is skewed towards quantification techniques, a three stage framework is proposed. The three stages are iterative. The first being concerned with establishing an appropriate focus and resolution level for the evaluation, the second uses a control model to identify relevant outputs, appropriate sensors and comparators and performance criteria. The third is about selecting more sophisticated paradigms for assessing processes and their outputs. It is contended that although the specific focus of this paper is systems development, the framework could be used in any organisational context where products and services are developed and produced.     

分布式科研项目评估管理系统的实现

讨论了一个分布式科研项目评估管理系统的实现.每个业务系统由多个节点构成,每个节点是一个科研项目评估管理系统.一个业务系统支持在多个地点以统一的标准进行科研评估业务.同一个业务系统中的各节点之间可以互相通信,交换评估标准和评估结果数据,不同的业务系统之间则互相保密.该系统遵循合理的评估方法,尽可能减弱主观因素对评估结果的影响.     

评定圆度误差的一种快速算法

根据最小区域法的判别准则,本文运用了一种快速准确的算法,直接确定出最小区域圆圆心的移动方向和合适步长,使得圆度评定的速度大大提高,算法精度也得到了提高.     

评价地区工业发展合理性的指标体系探讨

本文从工业系统技术进步、工业效率、工业经济效益、工业部门和行业结构以及工业发展速度的稳定性分析等方面对地区工业发展的合理性进行全面的科学考察和综合性定量评估,并设计了相应的综合性定量评价指标体系。该指标体系曾用于南京市工业发展的合理性评价,取得成功并受到专家好评。     

产品设计质量的综合评价方法

本文在分析研究产品质量特性指标基础上,试图运用模糊综合评判原理,对产品设计质量进行“二级”综合评价分析。探讨一种更为科学、较为合理,操作性强的评价选择产品设计质量水平的方法,为企业进行产品质量决策提供科学的依据。     

Study on the Reliability Evaluation of Qualitative Indices in Multi-Objective Decision

Qualitative indices in multi-objective decision can usually be evaluated and measured by mathematical methods or models, but the obtained results are sometimes inaccurate because of fuzziness of indices. To improve the accuracy and reliability of the evaluation results, set-value statistic principle is applied, and accordingly four evaluation methods are obtained. Meanwhile, these methods are compared briefly.     

Accuracy in forecasting: A survey

In this study, the author provides a brief and concise summary of empirical investigations pertaining to forecasting with special reference to the accuracy of different forecasting techniques. The study mainly focuses on comparisons of the accuracy of these techniques. The comparisons cover both quantitative and qualitative methods. In addition the summary includes studies seeking to test or improve accuracy by combining forecasting techniques.     

The accuracy of extrapolation (time series) methods: Results of a forecasting competition

In the last few decades many methods have become available for forecasting. As always, when alternatives exist, choices need to be made so that an appropriate forecasting method can be selected and used for the specific situation being considered. This paper reports the results of a forecasting competition that provides information to facilitate such choice. Seven experts in each of the 24 methods forecasted up to 1001 series for six up to eighteen time horizons. The results of the competition are presented in this paper whose purpose is to provide empirical evidence about differences found to exist among the various extrapolative (time series) methods used in the competition.