Abstract: With the increasing people concerning bout the urban waterfront green space landscape, the RAGA-PPE model was applied to the effect evaluation of urban waterfront green space landscape. We changed the multi-dimension data into low-dimension space and searched for the optimum projection direction to get the projection function value, then established the classification of multiple-unit data and evaluating model, which can evaluate landscape effect according to the size of the projection value. Daqing City was taken as the research object, effect evaluation index system and grade standard for waterfront green space landscape were built and effect evaluation was carried out on five urban waterfront green space landscapes. The results of evaluation showed that the score of “apt” for Dongfeng Lake was 1.5561, and the scores of “intermediate” for Wanbao Lake and Binzhou Lake were 3.3425 and 3.3427, respectively, while the score of “poor” for Chengfeng Lake was 3.6491, and the score of “very poor” for Dawn Lake was 4.7159. The evaluation results were basically consistent with the public feedback, suggesting that the model suitable for effect evaluation of urban waterfront green space landscape because of its higher accuracy. It also provided new method for dealing with the landscape comprehensive evaluation which has fuzzy and uncertain data by avoiding some deficiencies in traditional methods.