| 1. | An uncertainty inference model based on fuzzy logic
一个基于模糊逻辑的不确定性推理模型 |
| 2. | Study of diagnostic expert system based on uncertain inference model
在一定相容度下不确定性推理的可靠性分析 |
| 3. | Uncertainty reasoning and its application in the slope geological hazard zonation
不确定性推理及其在斜坡类地质灾害危险性区划中的应用 |
| 4. | All above discussion is to provide suitable foundation and method for uncertain reasoning
以上的讨论为处理不确定性推理提供了适当的途径。 |
| 5. | The structure model is a nonlinear model in nature , and can be composed of a group of uncertain reasoning rules easily
这种结构模型是一种本质非线性模型，可以很容易由一组不确定性推理规则构成。 |
| 6. | In order to study r0 algebra structure algebra , where r0 algebra is two - dimensional , we introduce middle point concept
第二部分讨论了不确定性推理。为了研究r _ 0代数结构，我们引入了中点的概念。 |
| 7. | Non - classical logic is an active research direction in the field of artificial intelligence and a logic foundation for uncertainty reasoning
非经典逻辑是人工智能领域中十分活跃的研究方向，是不确定性推理的理论基础。 |
| 8. | The method of uncertainty inference can meet the demand of proper inference and eror - fusion ability , while the method of certainty inference could not meet the demand
不确定性推理理论可以实现合情推理和容错能力,而确定性推理理论却不能。 |
| 9. | Experiments proved its efficiency and robustness . this recognition system introduced d - s inference theory in statistical pattern recognition , and implemented it by neural network
该系统充分结合了d ? s证据理论在不确定性推理方面的优势以及神经网络强大的非线性处理能力，实验结果表明了这一形状识别系统的有效性。 |
| 10. | Evidence theory is . a kind of important reasoning method , dempster first puts it forward in 1960 ' s , it wants to use probability upper and lower limit to express the uncertainty in practical problem
证据理论是dempster于20世纪60年代首次提出，试图用概率上下限来表示实际问题中的不确定性的一种重要的不确定性推理方法。 |
