信息安全风险评估的模糊多准则决策方法

基于ISO/IEC17799标准建立了一个综合的信息系统风险分析框架,并运用模糊多准则决策(FMCDM)方法计算信息安全风险,根据风险等级矩阵(RLM)对信息资产风险进行级别划分,最终建立评估信息资产相关风险的完整模型。     

化肥建设项目经济效益后评价指标体系的建立

根据化肥建设项目经济效益后评价的概念特点，对化肥建设项目经济效益后内容及其指标体系设置的原则进行了研究，并建立了一套具有可操作性的化肥建设项目经济效益后评价指标体系。     

WTO与财务软件国际化

介绍财务软件国际化的特点，指出我国财务软件要适应加入WTO的需要，必须使我国的会计准则与国际会计准则接轨，能提供符合世界上通用的国际商法、财务惯例的财务报告，具有“国际可比性”的财会信息；当前应能输出国内企业到国际资本市场融资、进行国际贸易、搞跨国投资所需的符合国际会计准则的财务报表；强调传统财务管理软件已无法适应企业管理的国际化和现代化要求，对财务软件国际化势在必行。     

人力资源投资评价应解决的两个重要问题

阐述了企业人力资源投资财务评价应解决的两个重要问题：评价对象的分类和项目的财务现金流量的内容。     

比较法在房地产开发中的应用

对"比较法"原理和应用情况进行了分析,说明其在房地产开发中能够科学地预测房地产的价格和收益,从而提高财务分析的科学性和权威性,为项目决策提供科学依据,以促进"比较法"在房地产开发中的应用。     

AssetCollector: a system for managing collections of cultural assets

In this paper, AssetCollector is presented, which is a system for managing collections of cultural assets. AssetCollector covers the needs of collection curators towards defining, populating and searching a collection in a flexible way, while supporting them in generating reports based on the collection’s assets and reusing them in order to build web sites and CD-ROMs. In order to support the above functionality, the system provides the content structuring subsystem, the content input subsystem, the search subsystem and the report subsystem. The use of the subsystems is straightforward and requires no technical skills from the curators. AssetCollector has been successfully applied for organizing various collections of cultural assets in Greece, such as archaeological sites, museums and published books. In the future, an evaluation procedure is planned in order to further refine the use of the system according to the targeted users’ needs. Furthermore, more import and export facilities will be provided, which will make the system compliant with widely accepted standards.     

建立预算资金行业财务管理中心的探索

会计集中核算制度是财政体制改革的一项重要举措,它对改变现行财政资金分散收付方式发挥了很大的作用.应在会计集中核算的基础上建立行业财务管理中心,并作为会计集中核算改革的进一步深入和补充.探讨了建立行业财务管理中心的重要性和必要性以及行业财务管理中心的模式,并在行业财务管理中心引入融资理念.     

浅谈现代化企业的质量特征与管理

在概述现代企业的质量特征与管理的基础上 ,就搞好企业管理工作 ,创造企业高效益的主要经验进行论述 ,为进一步提高企业经济效益     

Data mining of resilience indicators

In recent years, the Asia-Pacific region has experienced several financial setbacks, including speculative attacks in 1998 and the SARS outbreak in 2003. Financial stresses of this nature are unanticipated, and not all of the dangers can be predicted by the examination of market information and macroeconomic indicators. The Early Warning System (EWS) that has been adopted by the International Monetary Fund may not be able to predict future financial crises for all possible scenarios, because shocks come in many different forms. To supplement the EWS, this paper proposes a data mining framework to measure the resilience of an economy. The resilience framework does not predict a crisis, but rather assesses the current state of health of an economy and its ability to withstand a financial shock should one occur. The framework is based on a feedback system consisting of two stages. The first stage assigns a resilience score to each economy based on a fuzzy logic scoring scheme that is built on the ambiguous reasoning of experts. The second stage uses the classification tree approach to estimate thresholds for each economic indicator, and examines the quality of the fuzzy score. The result from the second stage is then passed back to the first stage as feedback. The final result is obtained when the feedback system reaches its equilibrium state. The proposed resilience framework is applied to the external-sector and the public-sector economies of several countries to illustrate its applicability.