基于非线性测度函数的改进属性识别模型在水质综合评价中的应用

张礼兵; 金菊良; 程吉林; 王硕

基于非线性测度函数的改进属性识别模型在水质综合评价中的应用

1.
合肥工业大学土木与建筑工程学院, 安徽, 合肥, 230009;
2.
扬州大学水利科学与工程学院, 江苏, 扬州, 225009;
3.
合肥工业大学人文经济学院, 安徽, 合肥, 230009

基金项目: 国家自然科学基金资助项目(50579009;70471090);合肥工业大学基金项目(08083F;GDBJ2008-003)

详细信息

作者简介:
张礼兵(1972- ),男,安徽肥东人,副教授,博士研究生,主要从事水资源系统工程研究.E-mail:zhanglibing777@163.com

中图分类号: X522

Application of improved attribute recognition model based on non-linear measure function to comprehensive assessment on river water quality

1.
College of Civil Engineering, Hefei University of Technology, Hefei 230009, China;
2.
College of Conservancy and Hydraulic Engineering, Yangzhou University, Yangzhou 225009, China;
3.
College of Humanities and Economics, Hefei University of Technology, Hefei 230009, China

Funds: The study is financially supported by the National Natural Science Foundation of China(No.50579009;70471090).

摘要: 线性测度函数的传统属性识别模型,对水质评价标准随机抽样的评价结果存在较大误差。为增加其对实测样本评价的可信度,提出了基于非线性属性测度函数的改进属性识别模型。均匀随机和正交设计两种抽样的评价试验显示,改进属性识别模型评价结果准确度明显好于传统模型,说明指标的属性测度函数对属性识别模型的综合评价结果有重要影响。太原市地下水水质的综合评价实例说明,由于非线性测度函数比线性测度函数能更好地描述评价指标的实际隶属度,故改进的属性识别模型具有更高的评价可信度,在水质综合评价中具有更广泛的适用性。
- 水环境安全管理 /
- 水质综合评价 /
- 属性识别模型 /
- 非线性 /
- 属性测度函数
Abstract: Misjudgements occurred when the general attribute recognition model based on linear measure function(LMF-ARM) is used to make assessment on the virtual samples drawn randomly from the criterion of water quality. This leads to the down-ward reliability of the result while LMF-ARM is applied to the actual water samples. Therefore,the improved attribute recognition model based on non-linear measure function(NLMF-ARM)is proposed here. The results given by the later model are much better than the former,according to the tests of the virtual samples selected by both the random method and the orthogonal design. It indicates that the measure function can play an important role during the process of utilizing attribute recognition model to make comprehensive assessment. So the conclusion can be draw from the case on a city groundwater quality assessment,that non-linear measure function,compared with the linear,has better abilities to describe the natural attribute degree of assessment indexes. Because of the higher reliability than LMF-ARM,NLMF-ARM has wider applicability in the comprehensive assessment of water quality.
- water environment security management /
- comprehensive assessment of water quality /
- attribute recognition model /
- non-linear /
- attribute measure function

[1]	金菊良,王文圣,洪天求,等.流域水安全智能评价方法的理论基础探讨[J].水利学报,2006,37(8):918-925.(JIN Ju-liang,WANG Wen-shen,HONG Tian-qiu.Theoretical basis of intelligent evaluation methods of watershed water security[J].Journal of Hydraulic Engineering,2006,37(8):918-925.(in Chinese))
[2]	朱剑英.智能系统非经典数学方法[M].武汉:华中科技大学出版社,2001.1-87.(ZHU Jian-ying.Non-classical mathematical methods in intelligent system[M].Wuhan:Huazhong University of Science and Technology Press,2001.1-87.(in Chinese))
[3]	建筑与环境学院.太原市水环境质量评价[M].太原:太原工业大学出版社,1993.1-51.(Architecture and Environment college.Water environmental quality assessment of Taiyuan[M].Taiyuan:Taiyuan University of Technology Press,1993.1-51.(in Chinese))
[4]	王艳芳.地下水灌溉水质评价的灰色聚类分析[J].宁夏农学院学报,1997,18(4):81-85.(WANG Yan-fang.The assessment of under-ground irrigation water quality based ongrey cluster analysis[J].Journal of Ningxia Agricultural College,1997,18(4):81-85.(in Chinese))
[5]	卢新卫.基于人工神经网络的水质污染综合评价方法[J].工程勘察,1997(6):25-43.(LU Xin-wei.Comprehensive assessment of water quality pollution based on artificial neural network[J].Geotechnical Investigation and Surveying,1997(6):25-43.(in Chinese))
[6]	刘坤,刘贤赵,王巍,等.模糊概率神经网络水质评价模型及其应用[J].数学的实践与认识,2006,36(12):138-144.(LIU Kun,LIU Xian-zhao,WANG Wei,et al.Fuzzy probabilistic neural network water quality evaluation model and its application[J].Mathematics in Practice and Theory,2006,36(12):138-144.(in Chinese))
[7]	陈守煜,李亚伟.基于模糊人工神经网络识别的水质评价模型[J].水科学进展,2005,16(1):92-97.(CHEN Shou-yu,LE Ya-wei.Water quality evaluation based on fuzzy artificial neural network[J].Advances in Water Science,2005,16(1):92-97.(in Chinese))
[8]	金菊良,黄慧梅,魏一鸣.基于组合权重的水质评价模型[J].水力发电学报,2004,23(3):13-19.(JIN Ju-liang,HUANG Hui-mei,WEI Yi-ming.Comprehensive evaluation model for water quality based on combined weights[J].Journal of Hydroelectric Engineering,2004,23(3):13-19.(in Chinese))
[9]	FRIEDMAN J H,TURKEY J W.A projection pursuit algorithm for exploratory data analysis[J].IEEE Trans On Computer,1974,23(9):881-890.
[10]	何玲,陈晓宏.一个基于熵最大原理的地下水评价模型[J].水科学进展,2001,12(1):47-51.(HE Ling,CHEN Xiao-hong.A model for groundwater quality assessment based on the maximum entropy theory[J].Advances in Water Science,2001,12(1):47-51.(in Chinese))
[11]	AMOROCHO I,ESPILDORA B.Entropy in the assessment of uncertainty in hydrologic systems and models[J].Water Resource Research,1973,9(6):1 511-1 522.
[12]	程乾生.属性识别理论模型及其应用[J].北京大学学报(自然科学版),1997,33(1):12-20.(CHEN Qian-shen.Attribute recognition theoretical model with application[J].Acta Scicentiarum Naturalum Universitis Pekinesis,1997,33(1):12-20.(in Chinese))
[13]	郭奇,曹洪洋.大气环境质量评价的属性识别法[J].环境监测管理与技术,2004,16(3):41-44.(GUO Qi,CAO Hong-yang.Attribute recognition method in atmospheric environmental quality assessment[J].The Administration and Technique of Environmental Monitoring,2004,16(3):41-44.(in Chinese))
[14]	门宝辉,梁川.属性识别方法在水资源系统可持续发展程度综合评价中的应用[J].浙江大学学报(农业与生命科学版),2002,28(6):675-678.(MEN Bao-hui,LIANG Chuan.Application of attribute recognition method for evaluating on sustained developmental degree of water resource systems[J].Journal of Zhejiang University(Agric.&Life Sci.),2002,28(6):675-678.(in Chinese))

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基于非线性测度函数的改进属性识别模型在水质综合评价中的应用

作者简介:
张礼兵(1972- ),男,安徽肥东人,副教授,博士研究生,主要从事水资源系统工程研究.E-mail:zhanglibing777@163.com

Application of improved attribute recognition model based on non-linear measure function to comprehensive assessment on river water quality

计量

基于非线性测度函数的改进属性识别模型在水质综合评价中的应用

1. 合肥工业大学土木与建筑工程学院, 安徽, 合肥, 230009;

2. 扬州大学水利科学与工程学院, 江苏, 扬州, 225009;

3. 合肥工业大学人文经济学院, 安徽, 合肥, 230009

作者简介:
张礼兵(1972- ),男,安徽肥东人,副教授,博士研究生,主要从事水资源系统工程研究.E-mail:zhanglibing777@163.com

English Abstract

Application of improved attribute recognition model based on non-linear measure function to comprehensive assessment on river water quality

1. College of Civil Engineering, Hefei University of Technology, Hefei 230009, China;

2. College of Conservancy and Hydraulic Engineering, Yangzhou University, Yangzhou 225009, China;

3. College of Humanities and Economics, Hefei University of Technology, Hefei 230009, China

全文HTML

目录

留言板

基于非线性测度函数的改进属性识别模型在水质综合评价中的应用

作者简介: 张礼兵(1972- ),男,安徽肥东人,副教授,博士研究生,主要从事水资源系统工程研究.E-mail:zhanglibing777@163.com

Application of improved attribute recognition model based on non-linear measure function to comprehensive assessment on river water quality

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出版历程

基于非线性测度函数的改进属性识别模型在水质综合评价中的应用

1. 合肥工业大学土木与建筑工程学院, 安徽, 合肥, 230009; 2. 扬州大学水利科学与工程学院, 江苏, 扬州, 225009; 3. 合肥工业大学人文经济学院, 安徽, 合肥, 230009

作者简介: 张礼兵(1972- ),男,安徽肥东人,副教授,博士研究生,主要从事水资源系统工程研究.E-mail:zhanglibing777@163.com

English Abstract

Application of improved attribute recognition model based on non-linear measure function to comprehensive assessment on river water quality

1. College of Civil Engineering, Hefei University of Technology, Hefei 230009, China; 2. College of Conservancy and Hydraulic Engineering, Yangzhou University, Yangzhou 225009, China; 3. College of Humanities and Economics, Hefei University of Technology, Hefei 230009, China

全文HTML

目录

作者简介:
张礼兵(1972- ),男,安徽肥东人,副教授,博士研究生,主要从事水资源系统工程研究.E-mail:zhanglibing777@163.com

1. 合肥工业大学土木与建筑工程学院, 安徽, 合肥, 230009;

2. 扬州大学水利科学与工程学院, 江苏, 扬州, 225009;

3. 合肥工业大学人文经济学院, 安徽, 合肥, 230009

作者简介:
张礼兵(1972- ),男,安徽肥东人,副教授,博士研究生,主要从事水资源系统工程研究.E-mail:zhanglibing777@163.com

1. College of Civil Engineering, Hefei University of Technology, Hefei 230009, China;

2. College of Conservancy and Hydraulic Engineering, Yangzhou University, Yangzhou 225009, China;

3. College of Humanities and Economics, Hefei University of Technology, Hefei 230009, China