变精度动态S-粗集模型及应用  

Variable Precision Dynamic S-rough Set Model and Its Applications

作　　者：祁小丁 邵亚斌[1] QI Xiao-ding;SHAO Ya-bin(Key Lab of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications,Chongqing 400065 ,China)

机构地区：[1]重庆邮电大学复杂系统智能分析与决策重点实验室,重庆400065

出　　处：《模糊系统与数学》2019年第1期128-135,共8页Fuzzy Systems and Mathematics

基　　金：国家自然科学基金资助项目(11671001);重庆市科委科技项目(cstc2015jcyjA00015)

摘　　要：通过分析变精度概率粗集模型与概率S-粗集模型的不足,给出了一般关系下的变精度S-粗集模型,并将变精度与概率S-粗集相结合,得到了变精度概率S-粗集模型。运用该模型处理相关动态问题会明显降低决策失误的风险。In order to overcome the insufficient of variable precision probabilistic rough set model and probabilistic S- rough set model, we give the variable precision S-rough set model based on the general relations. In addition, we obtain the variable precision probabilistic S-rough set model by combining the variable precision with the probabilistic S-rough set. Using this model to deal with relevant dynamic problems will obviously reduce the risk of decision making errors.

关 键 词：概率S-粗集 变精度 一般关系 动态决策 

分 类 号：O159[理学—数学]