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The cloud approach can fully consider the uncertainty in process of spatial data mining. However, it has some disadvantages in applications, especially in spatial decision support system. In this paper, we propose an improved fuzzy approach, which remedies these problems. It uses check mechanism to control error of fuzzy and randomness which exist in the spatial decision support system. It improves the cloud approach in that the different factor will be different influence to final evaluation result. It makes the result is more precision and close to real situation. Finally, the performance of proposed method is examined by experiments. The comparative results illustrate that it needs less runtime and gets more accuracy than the original cloud approach. We prove this method is more efficiency by experiments.