Abstract: This paper considers the evaluation of WSPD as a multi-attribute decision making problem,the Technique for Order Preference by Similarity to Ideal Solution（TOPSIS） method is employed to assess the performance of all candidate probability distributions for fitting WSPD. Firstly,each candidate probability distribution and its fitting performance metrics are deemed as each scheme and its attributes,respectively. Secondly,the magnitude of difference between candidate probability distribution and positive ideal solution is quantified by the relative closeness,which enables the evaluation of WSPD considering the conflicts of multiple fitting performance metrics;Finally,the measured wind speed data from two observatories at U.S. are collected to verify the suitability and accuracy of the mentioned method. The results show that the mentioned method can integrate multiple fitting performance metrics and evaluate WSPD for specific observatory under different wind regimes.