Title :
Assessment model based on cloud theory for water resources carrying capacity
Author :
Ji He ; Chen Xiaonan ; Qiu Lin ; Duan Chunqing
Author_Institution :
Dept. of Water Sci., North China Inst. of Water Conservancy & Hdroelectric Power, Zhengzhou, China
Abstract :
Considering the uncertain feature in assessment, a new assessment model based on cloud theory that can realize greatly the conversion from qualitative conception to quantitative model is established. Evaluation model based on cloud theory can not only show the fuzzy feature of grade, but also indicate random attribute of the degree by hyper entropy. Take the assessment model into evaluation of water resources carrying capacity in Haihe basin, and the results show that new evaluation methods is feasible and can effectively evaluate water resources carrying level.
Keywords :
fuzzy set theory; water resources; Haihe basin; assessment model; cloud theory; fuzzy feature; hyper entropy; qualitative conception; quantitative model; water resources carrying capacity; Character generation; Cloud computing; Computer science education; Educational institutions; Educational technology; Entropy; Helium; Project management; Water conservation; Water resources; assessment methods; cloud model; south-to -north water diversion; water resources carrying capacity;
Conference_Titel :
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6367-1
DOI :
10.1109/ICETC.2010.5529718