Urban ecosystem health evaluation based on fuzzy mathematics method

In this paper, we establish an assessment index system of urban ecosystem health and use improved entropy-weighting method to endow indexes weights. Using fuzzy mathematics method, we develop a comprehensive and dynamic assessment to measure and compare urban ecosystem health states of Chongqing city during 1997 and 2007. The results show that urban ecosystem health states of Chongqing improve during the study period, and the health states turn from sick grade during 1997 and 2005 to unhealthy grade in 2006 and 2007. However, urban ecosystem health state of Chongqing is still severe on the whole. Factors that make major contributions to the improvement of urban ecosystem health include the vigor element and the resilience element. The organizational structure element, the ecosystem services maintenance element and the human health element only play a relatively small role. The latter elements deserve to be paid more attention in urban ecosystem health management.