ABSTRACT Injection/falloff testing (IFT) is an important method for obtaining coalbed methane (CBM) reservoir permeability. It is necessary to evaluate IFT interpretation reliability for more accurate permeability values. To evaluate IFT interpretation reliability quantitatively, and efficiently, a new method is presented. Three first-level indexes, and 12 second-level indicators are chosen to establish an evaluation index system. The weightings of evaluation indexes are determined by the Fuzzy Analytic Hierarchy Process (FAHP). The cloud model is employed to establish the index’s judgment set, comprehensive standard cloud, and comprehensive evaluation matrix. Finally, four CBM reservoirs at Shilou North Block in China are evaluated. The evaluation results show that IFT interpretation reliability grades of coal reservoir No.8 and No.9 + 10 in well V01 C are good, and excellent respectively, while they are both poor in well V02 C. Although further improvement is needed on indicators selection, weighting determination and similarity acquisition, the method we proposed has the competitive ability for reliability evaluation on IFT interpretation. It can provide effective guidance for quality control of well testing, production and exploration of CBM, oil and gas.