极小极大规则 meaning in Chinese
minimax rule
Examples
- An information entropy - based uncertainty measure is presented first based on generalized rough set model in this paper , which is suitable for evaluating rules retrieved from noisy data . second , this paper puts forward generalized minimal - and - maximal - rules - learning methods and generalized maximal - minimal - rules - conversion model because we can encounter noisy problems in most real - life problems . third , this paper puts forward a new discretization method for the continuous attributes , which is based on the clustering and rough sets theory
本文在对粗集及其相关理论的研究基础上，首先给出了一种基于推广粗集模型和信息熵的规则不确定性量度，该不确定性量度适于评价从有噪音数据中提取的规则；鉴于实际应用中经常能遇到噪音的问题，本文提出广义极小极大规则学习方法，同时还提出了广义极大极小规则转换模型gmm ；最后，本文基于聚类方法、结合粗集理论提出了一种新的连续属性离散化方法。