Security transmission and recognition of F-knowledge

The concept of F-knowledge is presented by employing S-rough sets. By engrafting and penetrating between the F-knowledge generated by S-rough sets and the RSA algorithm, the security transmission and recognition of multi-agent F-knowledge are proposed, which includes the security transmission of multi-agent F-knowledge with positive direction secret key and the security transmission of multi-agent F-knowledge with reverse direction secret key. Finally, the recognition criterion and the applications of F-knowledge are presented. The security of F-knowledge is a new application research direction of S-rough sets in information systems.

F-Law collision and system state recognition

Using function one direction S-rough sets （function one direction singular rough sets）, f-law and F- law and the concept of law distance and the concept of system law collided by F-law are given. Using these concepts, state characteristic presented by system law collided by F-law and recognition of these states characteristic and recognition criterion and applications are given. Function one direction S-rough sets is one of basic forms of function S-rough sets （function singular rough sets）. Function one direction S-rough sets is importance theory and is a method in studying system law collision.

F-interference law generation and its feature recognition

By using two-directional S-rough sets, the concepts of （f, f）-interference generation and （f, f）- interference law generation of knowledge, F-interference generation and F-interference law generation of two-directional S-rough sets are proposed. Based on the concepts above, the relation theoreras between F-interference loss and F-interference degree, the relation theorems between F-interference loss law and F-interference degree law, the dis- cernibility theorems between F-interference and F-interference law are presented. At last, the recognition criterion of F-interference law and its application are given.

F-generation law and recognition of system law

If a system is not disturbed （or invaded） by some law, there is no doubt that each system will move according to the expected law and keep stable. Although such a fact often appears, some unknown law breaks into the system and leads it into turbulence. Using function one direction S-rough sets, this article gives the concept of the F-generation law in the system, the generation model of the F-generation law and the recognition method of the system law. Function one direction singular rough sets is a new theory and method in recognizing the disturbance law existing in the system and recognizing the system law.

■-law collision and system state recognition

Using dual function one direction S-rough sets, this article gives the f-law, the F-law, law distance and the concept of system law collided by the F-law. The characteristics presented by the system law collided by the F-law, the recognition of these characteristics and recognition criterion are also proposed. The dual function one direction S-rough sets is one of the basic forms of function S-rough sets. Its basic theory and application in the study of system law collision are reviewed.

S-粗集知识的动态推理与识别

利用数理逻辑中命题逻辑的形式,给出知识系统受到外部属性干扰时,干扰的逻辑推理结构,知识的动态推理与识别,提出知识的推理识别定理,S-粗集的推理识别定理,知识的动态推理识别原理。给出知识的动态推理与识别在知识动态识别中的应用。

基于元素干扰S-粗集知识的推理-识别

利用数理逻辑中命题逻辑的形式,给出元素干扰与关系因子的逻辑推理表示,然后给出知识系统受到外部因素干扰时,知识的逻辑推理表示,以及S-粗集的逻辑推理表示,给出知识的动态推理与识别定理,S-粗集的动态推理与识别定理。解决了元素干扰对系统进行干扰时,S-粗集知识的动态推理与识别问题。

基于模糊推理机的汉语主观句识别

该文提出一种基于词汇模糊集合的模糊推理机以识别汉语主观句。首先,根据主、客观词概念的模糊性,我们定义了两个相应的模糊集合,并在模糊统计方法下,利用TF-IDF从训练语料中获取隶属度函数。然后制定了两个模糊IF-THEN规则,并据此实现了一个模糊推理机以识别汉语主观句。NTCIR-6中文数据上的实验结果表明我们的方法具有一定的可行性。

The Hiding Characteristic of F-interior Hiding Image and Its Applications

By using function one direction S-rough sets,the concept of F-interior hiding image is presented; the theorem of F-interior hiding and the recognition criteria of interior hiding are proposed; and the applications of F-interior hiding image are given. F-interior hiding image is a new application area of function S-rough sets,and function S-rough sets is a new theory and new tools for iconology research.

基于直觉模糊推理的目标识别方法

针对目标识别特征值的不确定性问题,提出一种基于直觉模糊推理的目标识别方法.首先,分析现有目标识别方法的不确定性与局限性,并对空中目标识别问题及目标特征进行描述;然后,设计系统状态属性变量的隶属度函数与非隶属度函数;最后,建立直觉模糊推理规则,设计推理合成算法和解模糊算法,并检验所建规则的合理性.仿真实例验证了所提方法的有效性与适用性.

粗糙集与模糊系统集成的化学模式分类方法及其应用

模糊方法是一种有效的化学模式分类方法,但模糊规则的获取和相关参数的确定较为困难。对此,本文采用粗糙集方法,无需任何先验知识,约简系统,获取最简规则集,在此基础上构建结构合理．适用于分类的模糊-神经网络系统,并根据规则的统计性质和离散化结果初始化网络参数,采用LM方法训练网络；在橄榄油模式分类建模的应用中,该方法训练收敛速度快,所建模型预测性能良好,要优于现代统计方法和前馈神经网络。