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	Attribute recognition method based on entropy weight for analyzing sustaining development degree of water resource system
	Xia J.
	2006
关键词	water recourse system information entropy attribute recognition method fuzzy judge method
页码	499-504
英文摘要	Nowadays, Sustainable development is a so significant basic national policy on constructing socialism modernization in China that it must be implemented systematically in all regions. The degree of sustaining development of water resource system (DSDWRS) has become a bottleneck for economic development. To meet every department's future need of water resource, DSDWRS must be explicitly evaluated and analyzed in order to supply scientific gist for water resource system's reasonable planning and allocation. In this paper, a new evaluating model for DSDWRS determines the weight of index of water resource by analyzing its information entropy, and an attribute recognition model based on entropy weight (ARMEW) is proposed. For the uncertainty of water resource' index, determining weight with information entropy does a better job than subject decision method because the relative importance of all indexes can be objectively reflected. As a case study, ARMEW is used to Hanzhong Basin, and its evaluating result is compared with that of Fuzzy judged method (FJM): ARMEW gains not only consistent result as FJM does, but also a better resolution.
收录类别	CPCI
会议录出版者	Science Press Beijing
语种	英语
ISBN号	7-03-016765-1
内容类型	会议论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/25230]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Xia J.. Attribute recognition method based on entropy weight for analyzing sustaining development degree of water resource system[C]. 见:.

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