| 引用本文: | 姚 敏.一种自适应模糊系统[J].控制理论与应用,1998,15(3):364~371.[点击复制] |
| YAO Min.A Kind of Adaptive Fuzzy System*[J].Control Theory and Technology,1998,15(3):364~371.[点击复制] |
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| 一种自适应模糊系统 |
| A Kind of Adaptive Fuzzy System* |
| 摘要点击 1130 全文点击 584 投稿时间：1996-01-04 修订日期：1997-05-13 |
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| DOI编号 |
| 1998,15(3):364-371 |
| 中文关键词 模糊系统 模糊推理 动态自适应 模糊决策 |
| 英文关键词 fuzzy systems fuzzy reasoning dynamic adaptation fuzzy decision making |
| 基金项目 |
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| 中文摘要 |
| 采用模糊计算与神经计算相结合的方法，本文提出一种自适应模糊系统模型——AFS. AFS采用前向神经网络来实现模糊推理规则，运用模糊一致矩阵方法实现动态自适应以及最大关联隶属原则执行模糊决策. 最后通过若干实例以说明AFS的性能. |
| 英文摘要 |
| By means of the method of combining fuzzy computing with neurocomputing， this paper proposes a kind of fuzzy system model: AFS-Adaptive Fuzzy System. AFS adopts for-ward neural networks to realize fuzzy reasoning rules， presents fuzzy consistent matrix method to accomplish dynamic adaptation， and raises max-relational membership principle to carry out fuzzy decision making. The performance of AFS is compared with those of six cu. rrently representative reasoning methods by application examples. |