Aiming at the problem of information redundancy in the pairwise synthesis of heterogeneous difference features during the fusion of dual-mode infrared images， which leads to conflicts between the selected fusion algorithms， resulting in poor fusion or even failure， a method of dual-mode infrared image fusion algorithm selection based on possibility information quality synthesis is proposed. Firstly， the fusion effectiveness of different difference features under the dual-mode infrared image multi-fusion algorithms is calculated， and the possibility framework is used to obtain the corresponding possibility distribution vector subsets. Secondly， the information quantity and credibility of the vector subsets is calculated， and multiple vector subsets are weighted and synthesized. Then a ranking function based on information quality is constructed to obtain the non-dominated subsets under each fusion algorithm. Finally， the joint distribution of multiple fusion algorithms score function is constructed to optimize the selection of multiple fusion algorithms. The experimental results show that the method of integrating multiple difference features based on quality is used in the selection of dual-mode infrared image fusion algorithm， the selected fusion algorithm is more than 55% higher than the average of other algorithms in the weighted comprehensive index， which proves the effectiveness and feasibility of the method. The average time of the proposed method is 10.083 s after several experiments， which also meets the engineering requirements of real-time image fusion application in terms of time efficiency.