| 基于粗糙集理论的模糊模型及其在复杂控制系统中的应用 |
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| 引用本文： | 陈双叶,易继锴.基于粗糙集理论的模糊模型及其在复杂控制系统中的应用[J].控制与决策,2002,17(Z1):747-751. |
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| 作者姓名： | 陈双叶 易继锴 |
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| 作者单位： | 北京工业大学,电子信息与控制工程学院,北京,100022 |
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| 基金项目： | 国家863计划项目(863-306-ZT01-07-1) |
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| 摘 要： | 将粗糙集理论与模糊逻辑技术相结合,提出一种建立粗糙模糊模型的建模方法.运用粗糙集理论的基本概念和简约计算方法,从大量原始数据中发现精简的、概略化的规则来建立粗糙模糊模型,并提出了对模型进行扩充与完备化的概念.将该方法应用于化纤工业中抽丝冷却侧吹风非线性控制过程的仿真实验研究表明了该建模方法的有效性和可行性.
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| 关 键 词： | 粗糙集 模糊逻辑 粗糙模糊模型 建模方法 |
| 文章编号： | 1001-0920(2002)0S-0747-05 |
| 修稿时间： | 2002年3月9日 |
Fuzzy model based on rough sets theory and its applications to complicated control systems |
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| CHEN Shuang ye,YI Ji kai.Fuzzy model based on rough sets theory and its applications to complicated control systems[J].Control and Decision,2002,17(Z1):747-751. |
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| Authors: | CHEN Shuang ye YI Ji kai |
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| Abstract: | A kind of method of building rough fuzzy model is proposed by integrating fuzzy logic with roughsets.Rough fuzzymodelis build by obtaining general simplified rules from a large number of datausingroughsetstheoryandmethods of computing reduces. The concepts of expansion and perfection to the model are also presented. The simulations and experiments of the nonlinear control process of side wind for chemical fiber show that the method is effective and feasible. |
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| Keywords: | rough sets fuzzy logic rough fuzzy model model building method |
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