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| 双目标耦合不确定性模糊模式识别模型 | |
| 引用本文： | 高永胜,王淑英,丁春梅.双目标耦合不确定性模糊模式识别模型[J].水文,2006,26(1):34-37. |
| 作者姓名： | 高永胜 王淑英 丁春梅 |
| 作者单位： | 1. 中国水利水电科学研究院,北京,100038;浙江省水文局,浙江,杭州,310009 2. 浙江省水文局,浙江,杭州,310009 3. 浙江省水利水电专科学校,浙江,杭州,310018 |
| 摘 要： | 本文在陈守煜建立的模糊模式识别理论的构架基础上,将加权广义距离与模糊熵最小作为模式识别的复合目标函数,建立了考虑随机和模糊不确定性,使目标函数最小的新型模糊模式识别耦合模型。应用此模型对我国12个湖库的富营养化程度进行综合评价,并与原模型的双目标结果进行比较,说明本文建立的模型考虑了不确定性因素的优越性。 |
| 关 键 词： | 耦合 不确定性 模式识别 模糊熵 富营养化 |
| 文章编号： | 1000-0852（2006）01-0034-04 |
| 收稿时间： | 2005-04-29 |
| 修稿时间： | 2005-04-29 |
Double Objectives Coupling Uncertainty Fuzzy Pattern Recognition Model |
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| GAO Yong-sheng,WANG Shu-ying,DING Chun-mei.Double Objectives Coupling Uncertainty Fuzzy Pattern Recognition Model[J].Hydrology,2006,26(1):34-37. | |
| Authors: | GAO Yong-sheng WANG Shu-ying DING Chun-mei |
| Abstract: | Based on the fuzzy pattern recognition model founded by Prof. CHEN Shou-yu, this paper provides a new double objective uncertainty fuzzy pattern recognition model, which takes into account random and fuzzy uncertainty information to minimize weighted generalized distances and fuzzy entropy. The new model has been used to evaluate eutrophication degrees in 12 lakes and the double objectives results have been compared between the former model and the new model. The results show that because uncertainty is taken into account in the new model, it is superiority to the former one. |
| Keywords: | coupling uncertainty pattern recognition fuzzy entropy eutrophication |
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