[Similarity weight method and its application based on the attribute synthetic evaluation system].
OBJECTIVE
To explore a way of determining the weights of variables in synthetic evaluation.


METHODS
Based on the attribute synthetic evaluation system, similarity weight was used to cluster and rank the atmospheric quality on 11 large cities.


RESULTS
Realized the classification and ranking for the atmospheric quality of the cities given, the results were almost comparable to that achieved by Topsis evaluation.


CONCLUSIONS
The method of comprehensive assessment using similarity weight in the attribute synthetic evaluation system seemed to be objective and rational. Not only it embodied the weights of variables involved, but also exploiting the information presented by the sample.
Li
Jian-Ming
JM
The Department of Mathematics, Shanxi Medical University, Taiyuan 030001, China.
Qu
Cheng-Yi
CY
Liu
Qing-Ou
QO
D000397:Air Pollution / Q000517:prevention & control / Q000706:statistics & numerical data*; D002681:China / Q000453:epidemiology; D003627:Data Interpretation, Statistical; D003657:Decision Making; D004784:Environmental Monitoring; D062665:Epidemiological Monitoring; D005069:Evaluation Studies as Topic; D006801:Humans; D008962:Models, Theoretical