DocumentCode :
2314096
Title :
Evaluation model of water resources reproducible ability in Yellow River basin based on cloud theory
Author :
Qiu Lin ; Chen Xiaonan ; Chen Haitao ; Duan Chunqing
Author_Institution :
Dept. of Environ. Eng., North China Inst. of Water Conservancy & Hdroelectric Power, Zhengzhou, China
Volume :
8
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
3966
Lastpage :
3969
Abstract :
Considering the fuzzy and stochastic feature in evaluation, a cloud model for assessing the water resources reproducible ability is suggested. The new evaluation model can not only show the fuzzy feature of grade, but also indicate random attribute of the degree by hyper entropy. Apply the model into assessment of the water resources reproducible ability of 9 regions in Yellow River basin and the result is compared with other traditional methods. The comparison shows that the proposed method is simple, reliable and can reflect the uncertainty in evaluation.
Keywords :
fuzzy set theory; water resources; Yellow River basin; cloud theory; fuzzy feature; hyperentropy; water resources reproducible ability model; Biological system modeling; Clouds; Entropy; Generators; Indexes; Rivers; Water resources; Yellow River Basin; cloud model; evaluation methods; water resources reproducible ability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5584790
Filename :
5584790
Link To Document :
بازگشت