Abstract: Abstract: Aiming at the lack of consideration of the psychological behavior of decision makers in software quality evaluation methods, a TODIM software quality evaluation model based on interval 2-tuple linguistics is proposed. The model first uses interval 2-tuple to characterize the evaluation information of experts for software quality. Secondly, the subjective and objective weights of software quality attributes ware calculated by subjective weighting method and approximate ideal solution ranking method (TOPSIS). On this basis, the comprehensive weights of software quality attributes ware obtained by combined weighting method. In order to better describe the psychological behavior of experts in the process of software quality evaluation, TODIM was introduced into software quality evaluation. Finally, the model was used to evaluate the quality of high-speed railway dispatching software. The result shows that the third software has the highest dominance value and its quality is the best. Then, the evaluation results of the model are compared with the evaluation results of the Regret Theory and preference ranking organization method for enrichment evaluations (PROMETHEE). It is found that the three are consistent in the selection of the best quality software, but the overall ranking of the three is somewhat different. The difference indicates that the constructed model has strong superiority in describing the interaction between multiple criteria and the psychological behavior of decision-makers.