针对传统的远程系统对象观察和控制方法,存在结构层次混乱、界面响应慢、视图观感差、难以扩展和维护等问题,提出一种新的远程系统对象的观察和控制方法。该方法基于Eclipse平台,使用RSE(Remote System Explore)框架进行总体设计,通过...针对传统的远程系统对象观察和控制方法,存在结构层次混乱、界面响应慢、视图观感差、难以扩展和维护等问题,提出一种新的远程系统对象的观察和控制方法。该方法基于Eclipse平台,使用RSE(Remote System Explore)框架进行总体设计,通过建立服务于RSE的数据存储层(Data Store Layer),实现远程系统对象的观察和控制。经过实际使用,该方法实现数据与视图的分离,结构层次清晰,易于扩展,界面响应速度快。展开更多
Soft computing is a combination of methods that complement each other when dealing with ambiguous real life decision systems. Rough Set Theory (RST) is a technique used in soft computing that enhances the idea of clas...Soft computing is a combination of methods that complement each other when dealing with ambiguous real life decision systems. Rough Set Theory (RST) is a technique used in soft computing that enhances the idea of classical sets to deal with incomplete knowledge and provides a mechanism for concept approximation. It uses reducts to isolate key attributes affecting outcomes in decision systems. The paper summarizes two algorithms for reduct calculation. Moreover, to automate the application of RST, different software packages are available. The paper provides a survey of packages that are most frequently used to perform data analysis based on Rough Sets. For benefit of researchers, a comparison of based on functionalities of those software is also provided.展开更多
文摘针对传统的远程系统对象观察和控制方法,存在结构层次混乱、界面响应慢、视图观感差、难以扩展和维护等问题,提出一种新的远程系统对象的观察和控制方法。该方法基于Eclipse平台,使用RSE(Remote System Explore)框架进行总体设计,通过建立服务于RSE的数据存储层(Data Store Layer),实现远程系统对象的观察和控制。经过实际使用,该方法实现数据与视图的分离,结构层次清晰,易于扩展,界面响应速度快。
文摘Soft computing is a combination of methods that complement each other when dealing with ambiguous real life decision systems. Rough Set Theory (RST) is a technique used in soft computing that enhances the idea of classical sets to deal with incomplete knowledge and provides a mechanism for concept approximation. It uses reducts to isolate key attributes affecting outcomes in decision systems. The paper summarizes two algorithms for reduct calculation. Moreover, to automate the application of RST, different software packages are available. The paper provides a survey of packages that are most frequently used to perform data analysis based on Rough Sets. For benefit of researchers, a comparison of based on functionalities of those software is also provided.
