粗糙集在粉螨亚目螨种智能鉴别中的应用研究  

Application of Rough Set in Intelligent Distinction of Species of Acaroid Mites

作　　者：石文兵[1] 

机构地区：[1]安徽理工大学计算机科学与工程学院,安徽淮南232001

出　　处：《安徽理工大学学报（自然科学版）》2009年第3期54-57,共4页Journal of Anhui University of Science and Technology:Natural Science

基　　金：安徽理工大学博士硕士基金

摘　　要：粗糙集理论是一种新型的软计算方法,它能有效分析和处理不精确、不一致、不完整等特性的不完备信息,是一种强大的数学分析工具,具有良好的容错性能。采用粗糙集技术,并与分类鉴别算法相结合,给出改进的约简算法,对已分离的螨种进行分类鉴别,鉴别实例结果显示,在信息不完备的情况下仍能正确地进行分类鉴别,可明显提高分类鉴别能力和效率。粗糙集在粉螨亚目螨种智能鉴别中具有较好效果。Rough set theory is a new soft computation method, which can efficiently analyze and deal with imprecise, inconsistent and incomplete data. It is a powerful mathematic analysis tool with good fault--tolerant performance. The modified reduction algorithm was established by use of rough set technique combined with class identification algorithm to distinct species of acaroid mites. The results of the algorithm＇s application showed that different species of acaroid mites can be identified by rough set successfully with incomplete information. The algorithm evidently improves class identification efficiency. Rough set is efficient in intelligent distinction of species of acaroid mites.

关 键 词：粗糙集 决策表 约简 智能鉴别 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]