| 1. | 4 pawlak z . rough sets . int . j . comput
该算法对reduct完备且输出对给定的属性序唯一。 |
| 2. | 22 zdzislaw pawlak . rough sets theoretical aspects of reasoning about data
通过该平台可以快速设计部署新的多主体应用。 |
| 3. | Rough sets ( rs ) theory , introduced by z . pawlak , is a new mathematical tool to deal with knowledge , particularly when knowledge is imprecise or inconsistent
Roughsets ( rs )理论是一种处理不确定、不一致数据的新的数学工具。 |
| 4. | Pawlak , is a powerful mathematical tool for analyzing uncertain , unclear data and is widely applied to knowledge discovery or data mining
Pawlak在1982年提出的一种分析不完整、不确定数据的数学工具，目前被广泛应用于数据挖掘与知识发现研究。 |
| 5. | Rough set ( rs ) theory was put forward by pawlak zdzislaw in 1982 . after about 20 yesrs of developing , it has received fruitful achievements in both of theory and applications
粗糙集理论是1982年由pawlakz提出，经历了近20年的发展，已经在理论和应用上取得了丰硕的成果。 |
| 6. | Rough sets is a new mathematical tool introduced by pawlak to deal with uncertain and fuzzy information , based on which many problems in knowledge discovery can be resolved
粗糙集是波兰的z pawlak提出的一种新的处理不确定和模糊信息的数学工具，为知识发现中许多问题的解决提供了基础。 |
| 7. | Based on my study and inheritance of many experts and schorlars ( especially the poland mathematician z . pawlak ' s rough set ) , this thesis propounded an association rule mining method based on rough set
Pawlak提出的粗糙集理论)的研究成果的基础上，提出了一种基于粗糙集理论的关联规则挖掘方法。 |
| 8. | Thirdly , because the existing algorithms can only find the lesser attribute sets containing redacts at most cases , one new strategy with local retrospect is brought forward to conquer the difficulty
现有算法在很多情况下找到的只是包含属性约简的相对较小的属性子集，对pawlak属性约简是不完备的。 |
| 9. | Secondly , it introduces the classical pawlak rough sets model , which is a uncertain and vague conception based on equivalence relation and expresses by upper and lower set approximations
接着介绍了经典( pawlak型)粗糙集模型的基本理论，它是建立在等价关系基础之上的，用上下近似集合来表示一个不精确的概念。 |
| 10. | Rough sets theory , proposed by professor z . pawlak in 1980s , is a theoretical method that researches not only vagueness and uncertainty of knowledge , but also expression and induction of data
粗糙集理论是波兰华沙理工大学pawlak教授在20世纪80年代初提出的一种研究不完整、不确定知识和数据的表达、学习、归纳的理论方法。 |
