An entropy weight approach on the fuzzy synthetic assessment of Beijing urban ecosystem health,China
基于熵权的北京城市生态系统健康模糊综合评价

This research assessed the health conditions of the Beijing urban ecosystem from 1996 to 2003 through use of a fuzzy logic approach on entropy weight.The relative membership method used here avoided the uncertainty in estimating the standard of urban ecosystem health subjectively.The results showed that:(1) The relative health status of Beijing urban ecosystem health increased from 1996 to 2003.The most healthy year was 2003,and the least healthy year was 1996.(2) Based on the maximum membership degree principle,the maximum membership degree in human health group was 0.967(2002),in biotic community group was 1.000(2003),in social group was 1.000(2003),in economic group was 0.938(2003),in built-up environment group was 1.000(2003),in natural environment group was 0.795(1998),in interaction group between natural and social economic environment was 0.916(2002),and in the impact on larger ecosystem group was 1.000(1996).The maximum membership degree among all groups was in 2003,with a probability of 37.5%.