Attribute recognition model based on entropy weighting to analyze sustainable extent of water resource use

被引：0
作者：
Men, BH [1 ]
Liang, C [1 ]
Zhao, XJ [1 ]
机构：
[1] Dept Agr, Key Lab Agr Resources & Environm Yangtze River Re, Chengdu 610066, Sichuan, Peoples R China
来源：
WATER-SAVING AGRICULTURE AND SUSTAINABLE USE OF WATER AND LAND RESOURCES, VOLS 1 AND 2, PROCEEDINGS | 2004年
关键词：
water resource system; information entropy; attribute recognition method; fuzzy judgement method;
D O I：
暂无
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
An attribute recognition model of water resources is proposed, which is based on weightings of information entropy. Nowadays, the sustainable extent of water resource use (SEWRU) has become a bottleneck for economic development. Determining an information entropy weight does a better job than subjective decisions. The model is applied to the Hanzhong basin and results are compared with those of the fuzzy judgement method. The new model is considered to have higher resolution.
引用
收藏
页码：683 / 687
页数：5
相关论文
共 8 条
[1]  
CHEN SY, 2001, INT J HYDROELECTRIC, V19, P32
[2]  
Duan L.P., 2001, J HOHAI U NAT SCI ED, V29, P47
[3]  
GAO Y.C., 1997, J WATER RESOURCES, P73
[4]  
IRINA K, 1997, J HYDROL, V202, P173
[5]  
LIU KD, 2000, ENV ENG, V18, P58
[6]  
[门宝辉 Men Baohui], 2002, [浙江大学学报. 农业与生命科学版, Journal of Zhejiang University], V28, P675
[7]  
Wang B., 1994, ENTROPY INFORM, P121
[8]  
程乾生, 1997, [北京大学学报. 自然科学版, Acta Scientiarum Naturalium Universitatis Pekinensis], V33, P12
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