The generation characteristics of S-rough sets depending on reliability is discussed.
讨论了S -粗集依信度生成的特性。
The generation characteristics of one direction variation S-rough sets depending on reliability is discussed.
讨论了单向变异s -粗集依信度生成的特性。
By using S-rough sets of attributes particle characteristics, the information was enciphered and its reasonability was verified.
运用s -粗集的属性颗粒特征对信息进行加密，并验证了它的合理性，从而达到信息的保密性，成为一种更为有效的加密方法。
F-memory characteristics of S-rough sets, F-memory theorem of S-rough sets and the knowledge loss principle of F-memory chain are presented.
利用这些概念，提出S粗集的f记忆特性，S -粗集的F -记忆定理，F -记忆链上知识丢失原理。
The S-rough fuzzy sets theory based on the theory of the S-rough sets, provide a theoretical basis in handling of imprecise knowledge in the dynamic system.
结合模糊集理论和单向S-粗集理论，基于动态系统提出了单向S-粗模糊集的概念、结构及其性质，对此进行了讨论并给出应用实例。
By using the theory of function S-rough sets and random characteristics of function transference, the concept of reliability of function transference and reliability function are presented.
提出双向变异S-粗集的属性迁移的信度及信度函数的概念，给出了双向变异S-粗集的依信度生成，讨论了双向变异S-粗集依信度生成的特性。
This paper gives the concept of-memory of S-rough sets and its-memory structure, puts forward-memory chain theorem, -memory loop theorem and the knowledge complementary principle of F-memory chain.
本文给出S-粗集的-F-记忆概念，S-粗集的-F-记忆结构，提出-F-记忆链定理，-F-记忆环定理和-F-记忆链上知识补充原理。
In this paper based on rough sets theory and neural network a new optimizing method of supplier 's choice is put forward.
本文提出了一种基于粗集理论与神经网络相结合的供应商优化选择新方法。
Finding the core (s) and the reduction of information system is prime of rough sets by the method of indiscernibility relation from origin information system.
从原始信息系统出发，用不可分辨类的思想求解系统的核属性和约简是粗集理论的精华。
Function s rough set is a new direction in the study of rough sets.
函数s粗集是粗集研究的一个新方向。
Considering dynamic property of the set and statistical informational in knowledge base, this paper puts forward one direction S-probability rough sets.
既考虑集合的动态特性，又考虑知识库中的统计信息，提出了单向s -概率粗集。
The relationship between assistant sets generation of function S-rough and assistant sets generation is discussed.
分析了函数S-粗集的副集生成与S-粗集副集生成的关系。
This thesis deals mainly with the knowledge acquisition methods as rough-sets, D-S evidence theory in incomplete information system, and obtains some significative result.
本文主要研究不完备信息系统下的知识获取方法，并取得了一些有意义的结果。
This thesis deals mainly with the knowledge acquisition methods as rough-sets, D-S evidence theory in incomplete information system, and obtains some significative result.
本文主要研究不完备信息系统下的知识获取方法，并取得了一些有意义的结果。
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