| 1. | The improvement of belief function ' s approximations
信任函数逼近方法的改进 |
| 2. | The belief function in human development
人之发展中的信仰功能 |
| 3. | The reliability of evidence , computed by a new generic model , is used to correct the belief functions
在确定证据的可信度时，给出一种通用的计算模型。 |
| 4. | 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。 |
| 5. | Furthermore , after analyzing the congregative characteristic of inner measure , we obtain the relationship between belief function and inner measure
其次，对内测度的集合特征作了分析后，给出了信任函数与内测度的关系。 |
| 6. | From the work mentioned above , the paper independently gives a new method to generate belief functions based on rough set . and it is accordant with the requirement of dempster - shafer evidence theory
作者还独立提出了一种基于粗糙集理论的信任函数构造方法，并分析证明了其完全符合证据理论的要求。 |
| 7. | Based on rough set theory , the relationship between belief function and inner measure belief function and lower probability of a random set are discussed , then we give a interpretation of these uncertainty measure
本文以粗糙集为基础，研究了信任函数与内测度、信任函数与随机集的下概率之间的关系，并给出了它们基于粗糙集理论的解释。 |
| 8. | In the following part , we define a couple of new approximate operators and a couple of corresponding new approximate measure operators , in this way , inner measure belief function and lower probability all can be considered as the particular cases of this lower approximate measure
通过定义一对新的逼近算子以及相应的一对逼近测度，使内测度、信任函数、随机集上的下概率均可表示为此下逼近测度结构下的一种特例。 |
