This research USES rough sets to reduce this factors, then adopts radial basis function networks to predict and diagnose the continuous casting slab defect.
提出用粗糙集理论简化这些因素,然后采用径向基函数网络对连铸板坯缺陷进行预报诊断。
First we compare rough sets and random sets, and derive the relationship between belief function and lower probability.
首先将粗糙集与随机集作了比较,并由此得出了信任函数与下概率的关系。
In this paper, firstly we compare RST with fuzzy Sets Theory and introduce fuzzy method into the study of RST by the rough membership function.
首先本文将粗糙集理论与模糊集理论进行比较,通过粗糙隶属函数将模糊集的研究方法引入到粗糙集的研究中。
By comparing rough sets and random sets, we derive the relation between belief function and lower probability.
首先将粗糙集与随机集作了比较,并由此得出了信任函数与下概率的关系。
The feasibility of applying theory of rough sets to the identification of fuzzy membership function is confirmed in this paper.
提出应用粗糙集理论辩识模糊隶属函数的可行性。
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。
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。
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。
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。
应用推荐