| 1. | Regular similarity relation on f in propositional logic
命题逻辑公式集上的正则相似关系 |
| 2. | Similarity relation - based knowledge reduction in incomplete and fuzzy decision information systems
基于相似关系的不完备模糊决策信息系统知识约简 |
| 3. | The roughness of this model is less than or equals that of the tolerance relation - based model , and is more than or equals roughness of the non - symmetrical similarity relation - based model
该模型的粗糙性介于相容关系与非对称相似关系的粗糙集扩展模型的粗糙性之间。 |
| 4. | Symmetric similarity relation and its rough set extension model which based on the rough set extension model of tolerance relation , non - symmetric similarity relation and limited tolerance relation are , proposed and its characters are discussed
摘要在分析基于相容关系、非对称相似关系和限制容差关系的粗糙集扩展模型基础上，提出对称相似关系及其粗糙集扩展模型，并讨论其性质。 |
| 5. | With respect to extension of rough set theory under incomplete information systems , rough set modal based on class similarity relation is proposed in this thesis , this modal can reclassify to objects through equivalence partition of domain values
在不完备系统下的粗糙集理论的扩充方面，提出了一种类相似关系的粗糙集模型，该模型通过对域值的等价划分，可对对象进行重新分类。 |
| 6. | According to the shortcoming of data completation algorithms based on rough set , a strategy for data completation based on valued similarity relation , and a strategy based on the limited similarity relation are put forward to improve effect of completation
为了提高粗集模型抗噪音干扰的能力，又提出了基于变精度粗集模型的数据补齐算法，以使模型在数据存在噪音干扰的情况下，仍然能获得好的机器学习效果。 |
| 7. | The symmetric - similarity - relation - based rough set extension model improves the other extension models , and can solve the problems that the conditions of tolerance relation and limited tolerance relation are excessively free and conditions of non - symmetric similarity relation are too stern
这种扩展模型是其他几种扩展模型的改进，能较好地解决相容关系和限制容差关系条件的过于宽松以及非对称相似关系条件过于严格的问题。 |
| 8. | For the problem that the accuracy of case - based reasoning ( cbr ) degrades due to measurement errors of the case similarity caused by the crs methods , a new method based on similarity rough set ( srs ) for determining the case feature weights is proposed where the indiscernibility relation is extended to the similarity relation of the crs
其次，针对基于传统粗糙集的方法会造成案例相似度测量误差从而影响案例推理的准确性的问题，将传统粗糙集的不可分辨关系推广为相似关系，提出了一种基于相似粗糙集的案例特征权值确定方法。 |
| 9. | It is proved that this approach reduces the entropy of information system and the mutual information of decision system . according to information theory , this approach is better than other completion methods , such as remove incompletes , mean / mode fill , combinatorial completion and similarity relation model
本文证明该拓展算法使信息系统的信息熵(决策系统的互信息)减小，在信息理论意义上优于删除法、扩展法、默认值替代法和相似模型法等常用的完备化处理方法。 |
| 10. | However , it is too expensive in investment , complex in experimental techniques , difficult and dangerous in performance . in this paper to overcome these drawbacks , the similarity relations together with a new method and its principle of experiment have been developed based on the model theory of structural similarity . according to this principle , the total stress ; an be obtained as a sum of the stresses due to weight and external loading , which based on only one model experiment without any gravitational loading
最后，针对外载与自重共同作用下，传统光弹性分析法中采用离心力场模拟重力场获得自重应力的试验投资耗费大、技术复杂且难度大和不安全等严重缺点，按照结构相似的模型理论，本文提出模型外载与自重并存变动外载的光弹性分析法，导出处理这个问题具体的相似律和试验原理及方法，进行了典型实验验证，指出仅用外载作用的模型试验，即不用离心力场模拟重力场的模拟试验，就可以获得上述两种载荷共同作用下的应力分析结果。 |
