| Fast generation method of fuzzy rules and its application to flux optimization in process of matter converting |
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| 作者姓名： | 胡志坤 彭小奇 桂卫华 |
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| 作者单位： | [1]School of Physics Science and Technology, Central South University, Changsha 410083, China [2]School of Information Science and Engineering, Central South University, Changsha 410083, China |
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| 基金项目： | 中国科学院资助项目;国家重点基础研究发展计划(973计划) |
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| 摘 要： | 1 INTRODUCTIONIn general ,the physical attributes of tempera-ture ,pressure and position are continuous in theprocess of industrial production. Data with contin-uous attributes are also called numerical data orquantitative data1 3]. Numerical data can reflectthe real world,but it is very indigestible .It is al-most i mpossible to build mathematical model to op-ti mize complexindustrial process .So it is difficultto obtain steady and opti mal productionindexes ofthe process of nonferrous …
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| 关 键 词： | 模糊控制 数据挖掘 智能控制 冶金炉 模糊规则 |
| 文章编号： | 1005-9784（2006）03-0251-05 |
| 收稿时间： | 2005-08-28 |
| 修稿时间： | 2005-10-08 |
Fast generation method of fuzzy rules and its application to flux optimization in process of matter converting |
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| Hu Zhi-kun , Peng Xiao-qi and Gui Wei-hua.Fast generation method of fuzzy rules and its application to flux optimization in process of matter converting[J].Journal of Central South University of Technology,2006,13(3):251-255. |
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| Authors: | Hu Zhi-kun Peng Xiao-qi and Gui Wei-hua |
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| Affiliation: | (1) School of Physics Science and Technology, Central South University, 410083 Changsha, China;(2) School of Information Science and Engineering, Central South University, 410083 Changsha, China |
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| Abstract: | A fast generation method of fuzzy rules for flux optimization decision-making was proposed in order to extract the linguistic knowledge from numerical data in the process of matter converting. The fuzzy if-then rules with consequent real number were extracted from numerical data, and a linguistic representation method for deriving linguistic rules from fuzzy if-then rules with consequent real numbers was developed. The linguistic representation consisted of The simulat two linguistic variables with the degree of certainty and the storage structure of rule base was described. on results show that the method involves neither the time-consuming iterative learning procedure nor the complicated rule generation mechanisms, and can approximate complex system. The method was applied to determine the flux amount of copper converting furnace in the process of matter converting. The real result shows that the mass fraction of Cu in slag is reduced by 0.5 %. |
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| Keywords: | fuzzy rule data mining Sugeno model intelligent optimization matter converting |
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