Arid
The rough set analysis approach to water resources allocation decisions in the inland river basin of arid regions
Gong, ZT; Sun, BZ; Xu, ZM; Long, AH
通讯作者Gong, ZT
会议名称4th International Conference on Machine Learning and Cybernetics
会议日期AUG 18-21, 2005
会议地点Canton, PEOPLES R CHINA
英文摘要

In this paper, the rough set approach is applied to water resources allocation in the inland river basin of and region. A decision table of the water resources allocation in the inland river basin of and regions is established by the real situations of the basin. Then, an optimized allocation scheduling is gained by the attribute reduction and the core computation for the decision table. As a test, an example is studied. The exemplary computation showed that not only the results are rational, but the methods are also more useful in practices. Meanwhile, the problem of allocation imbalance of water resources of the classical methods in the region studied is solved. Therefore, it provide a more reasonable and powerful method for the government management branches.


英文关键词Rough Sets attribute reduction decision table water resources allocation inland river basin in aris region
来源出版物Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9
出版年2005
页码3179-3182
ISBN0-7803-9091-1
出版者IEEE
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000235325604110
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Computer Science, Information Systems
WOS研究方向Computer Science
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/295625
作者单位(1)Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Gong, ZT,Sun, BZ,Xu, ZM,et al. The rough set analysis approach to water resources allocation decisions in the inland river basin of arid regions[C]:IEEE,2005:3179-3182.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Gong, ZT]的文章
[Sun, BZ]的文章
[Xu, ZM]的文章
百度学术
百度学术中相似的文章
[Gong, ZT]的文章
[Sun, BZ]的文章
[Xu, ZM]的文章
必应学术
必应学术中相似的文章
[Gong, ZT]的文章
[Sun, BZ]的文章
[Xu, ZM]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。