不确定性理论集对分析在海水水质富营养化评价中的应用  

The Application Research of the Theory of Uncertainty-Set Pair Analysis in Seawater Eutrophication Assessment

作　　者：李嘉竹[1] 刘贤赵[1] 

机构地区：[1]鲁东大学地理与规划学院,烟台264025

出　　处：《数学的实践与认识》2009年第1期84-88,共5页Mathematics in Practice and Theory

基　　金：国家自然基金项目资助(40101005);山东省自然基金项目资助(Q2002E03)

摘　　要：集对分析是处理不确定性问题的新的系统理论方法.利用该理论,建立了进行海水水质富营养化综合评价的新方法.实例研究表明,集对分析评价海水水质的富营养化程度是切实可行的,与人工神经网络方法和支持向量机方法相比,集对分析方法概念清晰,计算简便、快捷、精度高,具有较高的分辨率和较大的实用性,减少了评价过程中的人为主观因素;具有不遗失数据中间信息、评价结果与实际情况更为相符的优点,为海水环境质量综合评价提供了一种简单而适用的评价方法.Set pair analysis is a new systematical and theoretical technique for treating uncertain problems. A new method for the seawater eutrophication evaluation was established using the set pair analysis theory in this paper. An applied example was studied with more satisfactory results. Compared with the BP artificial neural network and support vector machine theory, the set pair analysis method in seawater eutrophication assessment is feasible. The concept of set pair analysis method is clear and its calculation with higher precision is simple and shortcut. At the same time, the set pair analysis method with higher resolving power and greater practicability reduced the artificial subjective factors in the course of assessment, and had advantages without losing data intermediate information and the evaluating result is more consistent with practical situation. Thus, a simple and effective evaluation method is provided for seawater eutrophication evaluation.

关 键 词：集对分析法 富营养化 海水质量 

分 类 号：X820[环境科学与工程—环境工程]