| 模糊逻辑系统的改进 |
| |
| 引用本文： | 热合木江,马玉书,古丽·吐尔逊. 模糊逻辑系统的改进[J]. 中国石油大学学报(自然科学版), 2000, 24(1) |
| |
| 作者姓名： | 热合木江 马玉书 古丽·吐尔逊 |
| |
| 作者单位： | 石油大学人工智能实验室,北京102200 |
| |
| 摘 要： | 模糊推理方法和非模糊化策略是模糊逻辑系统的两个最重要的组成部分 ,在很大程度上影响模糊系统的性能和效果。根据“t范式”和“t协范式”不同的操作组合方式 ,提出了几种改进的模糊推理方法和非模糊化策略 ,并通过计算机模拟得到了比较满意的效果。这说明Mamdani所提出的模糊推理方法并不是唯一的模糊控制方法
|
| 关 键 词： | 模糊逻辑系统 模糊推理 模糊控制器 模糊集合 |
IMPROVEMENT OF FUZZY LOGIC SYSTEM |
| |
| Rehe Mu-jiang,Ma Yu-shu,Guli Tulxum. IMPROVEMENT OF FUZZY LOGIC SYSTEM[J]. Journal of China University of Petroleum (Edition of Natural Sciences), 2000, 24(1) |
| |
| Authors: | Rehe Mu-jiang Ma Yu-shu Guli Tulxum |
| |
| Abstract: | The fuzzy reasoning method and the defuzzification method are two mian parts in designing a fuzzy control system. This paper presents several fuzzy reasoning and defuzzification methods by using t norms and s norms operations. Computer simulation gave better control results than those by the conventional methods being widely used. It is proved that the fuzzy reasoning method proposed by Mamdani is not unique fuzzy control method. |
| |
| Keywords: | fuzzy logic system fuzzy reasoning fuzzy controller fuzzy integration |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
