Abstract: Abstract: Waste land reclamation potential in mine areas is an important basis for a Land Consolidation and Rehabilitation Plan. The size of potential value calls for the evaluation, so the selection of evaluation methods has a direct impact on the result of the evaluation. In general, the steps of reclamation evaluation are choosing the evaluation objects, screening evaluation indices, grading the evaluation indices, weighted the indices, and evaluating the potential. In the current study, most research uses just one method to evaluate the reclamation potential, or improve the method during the process of reclamation evaluation, like improving the method for obtaining weight, and taking this as the final evaluation result may introduce a kind of randomness. Based on the Shuozhou city in Pinglu area in Shanxi Province, this article will use the Index method, the Fuzzy comprehensive evaluation method, and the Artificial neural network model to evaluate the reclamation potential, and discuss the similarities, differences, and the lead reasons among the results provided by these three methods. Then, the Analytic Hierarchy Process is used to combine the results from each method, and the comprehensive evaluation result is obtained based on that. The result indicates that under the same index system and weight, because of the different evaluation methods and the different dimensionless methods used during these processes, each potential level is different among the numbers of figure spot, area, and spatial location under the same potential level. Under the theory that both the Index method and Fuzzy comprehensive evaluation method are affected by the indicator system and weight, the difference is that before using the Index method, the experimentalist should standardize parameter values, which will be solved during the Fuzzy comprehensive evaluation process. The similarity is that both methods will provide weighted sums of the indicator system to obtain the final value, which will be a numerical value whose size represents the potential level by the Index method, while the result by the Fuzzy comprehensive evaluation method is a row vector. This paper depends on the weighted average principle to get the potential level. As for the artificial neural network model, after normalizing all parameters, because the value for each node in the hidden layer and output layer, instead of the simple weighted sum, is calculated, the whole process is dependent on its self-learning capability. So, whereas the artificial neural network model is little influenced by subjectivity, the result by the artificial neural network model is more objective. The comparison between the waste land distribution and the comprehensive evaluation result indicates that where the abandoned mining areas and mining consolidation areas are concentrated in the first or second level, the potential is overall high. Where the mined areas stay in the third or fourth level, the potential is relatively low. Research shows that the comprehensive evaluation result is more scientific and has a more objective theoretical value; and for the waste land system, the actual value calculated still needs to include values for the reclamation years, funds, personnel organization, property right relations, and other factors.