[1]徐立中,林志贵,黄凤辰.基于模糊证据理论的水质环境状态估计[J].智能系统学报,2007,2(3):79-83.
XU Li-zhong,LIN Zhi-gui,Huang Feng-chen.Water environmental qual ity assessment based on fuzzy evidence theory[J].CAAI Transactions on Intelligent Systems,2007,2(3):79-83.
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XU Li-zhong,LIN Zhi-gui,Huang Feng-chen.Water environmental qual ity assessment based on fuzzy evidence theory[J].CAAI Transactions on Intelligent Systems,2007,2(3):79-83.
基于模糊证据理论的水质环境状态估计
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第3期
页码:
79-83
栏目:
学术论文—智能系统
出版日期:
2007-06-25
- Title:
- Water environmental qual ity assessment based on fuzzy evidence theory
- 文章编号:
- 167324785 (2007) 0320079205
- Keywords:
- information f usion ; f uzzy2evidence t heory ; similarity degree ; assessment of water body eutrophication
- 分类号:
- TP118 ,X824
- 文献标志码:
- A
- 摘要:
- 从信息融合的角度,将湖泊水质环境多因子综合评价过程看成是一个多源数据融合处理与状态估计过程, 提出基于相似度的模糊证据理论,评估湖泊水体富营养状况. 通过引入模糊集合的相似度,一方面,确定模糊焦元的权值,并修改证据模型;另一方面,确定模糊焦元对类别焦元的信任函数的贡献因子,并建立状态估计与评价模型, 使其能够处理湖泊水体富营养状况的突发性带来的某些焦点元素的显著变化问题. 对太湖水体富营养状况的评估做了实证分析,并与营养状态指数评价方法进行比较,结果一致,说明基于相似度的模糊证据理论的估计方法可行.
- Abstract:
- The process of assessing lake water quality , as viewed from the perspective of data f usion , is a process involving multi2source data f usion and state estimation. This paper proposes using fuzzy-evidence t heory to assess the eut rop hication of lake water based on degrees of similarity. . On one hand , by introducing degrees of similarity wit h fuzzy set s , the weight s of f uzzy focal element s are determined and t he evidence model is modified. On the other hand , by using t he degree of similarity with fuzzy set s , t he contribution factor s of fuzzy focal element s to the belief functions of focal element s of the class are determined , and models of state estimation and assessment are established which can handle problems due to obvious changes in some focal elements induced by abrupt changes of lake water eutrophication. This proposed met hod was tested by water eut rop hication assessment of Taihu lake in China. Results were analyzed and compared with those obtained by t he t rop hic stat us index method , indicating that the proposed method based on degree of similarity is feasible for water quality assessment .
- 参考文献/References:
-
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XU Lizhong , WANG J ianying , HUANG Fengchen. Water environment monitoring data fusion based on neu2 ral network[J ] . Journal of Test and Measurement Tech2 nology , 2004 ,18 (Supp) :195 - 198.
[3 ]林志贵,徐立中,黄凤辰. 基于D2S 理论的多源水质监测数据融合处理[J ] . 计算机工程与应用,2004 ,40 (10) :3 - 5.
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备注/Memo
收稿日期:2006-11-23.
基金项目:国家自然科学基金资助项目(60374033) ;教育部科学技术研究重点项目( 107057) ; 江苏省高技术研究重大项目 (BG2006003) .
作者简介:
徐立中,男,1958 年生,博士,教授,博士生导师,主要研究方向为信息获取与遥测遥控、信息处理与智能系统. 曾获省部级科技进步二等奖2 项,三等奖5 项,申请国家发明专利2 项,发表论文90 余篇, 出版专著4 部. E2mail :lzhxu @hhu. edu. cn.
林志贵,男,1974 年生,博士,讲师,主要研究方向为智能信息处理、嵌入式系统及应用.
黄凤辰,男,1964 年生,硕士,副教授, 主要研究方向为遥测遥控、信号与信息处理及应用.
更新日期/Last Update:
2009-05-07