Developing a sustainable development indicator via knowledge mining

被引：3
|
作者：
Wang, XF
Wang, J
Li, BL
机构：
[1] Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USA
[2] Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY | 2001年 / 8卷 / 02期
关键词：
knowledge discovery in the database; rough set; human development; sustainability indicator;
D O I：
10.1080/13504500109470069
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
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.
引用
收藏
页码：119 / 126
页数：8
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