CASIA OpenIR  > 09年以前成果
Developing a sustainable development indicator via knowledge mining
Wang, XF; Wang, J; Li, BL
发表期刊INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
2001-06-01
卷号8期号:2页码:119-126
文章类型Article
摘要This paper exposes the concealed sustainability information in the annual reports for the United Nations Development Programme. As an alternative to the 'understanding the database by computer' approach, we focus on the meaning of the database by using the so-called 'understanding the database by human' approach. The discernability matrix in rough set is used to obtain a qualitative description of the database. Special domain knowledge is embedded in the discernability matrix, and an attribute reduction set is employed to develop a sustainable development indicator. A complete assessment of the world's sustainability is thus provided.
关键词Knowledge Discovery In The Database Rough Set Human Development Sustainability Indicator
WOS标题词Science & Technology ; Life Sciences & Biomedicine
收录类别SCI
语种英语
WOS研究方向Environmental Sciences & Ecology
WOS类目Ecology
WOS记录号WOS:000170225800003
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9838
专题09年以前成果
作者单位1.Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USA
2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Wang, XF,Wang, J,Li, BL. Developing a sustainable development indicator via knowledge mining[J]. INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY,2001,8(2):119-126.
APA Wang, XF,Wang, J,&Li, BL.(2001).Developing a sustainable development indicator via knowledge mining.INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY,8(2),119-126.
MLA Wang, XF,et al."Developing a sustainable development indicator via knowledge mining".INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY 8.2(2001):119-126.
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
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, XF]的文章
[Wang, J]的文章
[Li, BL]的文章
百度学术
百度学术中相似的文章
[Wang, XF]的文章
[Wang, J]的文章
[Li, BL]的文章
必应学术
必应学术中相似的文章
[Wang, XF]的文章
[Wang, J]的文章
[Li, BL]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。