数字信息资源生产质量监测与控制的粗糙集模型

摘要

Digital information resources have become the most important strategic resources in todays information society. Considering the complexity and uncertainty of the digital information resources production, it introduces rough sets theory, which can better handle this kind of incomplete and inaccurate data. The rough set model for digital information resources production quality monitoring and control is constructed on the basis of the analysis of its production quality factors, and the effective production quality related rules have been mined from complex production-quality-related data. These rules can be used for the production quality monitoring and control of digital information resources. Finally, it uses an application example of digital history documentary production to verify the validity of the model.%数字信息资源已经成为当今信息化社会重要的战略资源。考虑到数字信息资源生产的复杂性和不确定性，引入可以较好处理这类不完备和不精确数据的粗糙集理论，在分析数字信息资源生产质量影响因素的基础上，构建数字信息资源生产质量监测与控制的粗糙集模型，从复杂的生产质量相关数据中挖掘出有效的生产质量影响因素的相关规则，这些规则可用于数字信息资源生产质量的监测与控制。通过对数字历史纪录片生产的应用实例的分析，验证该模型的有效性。