Abstract: The value of information should be mined as much as possible when using the connection number, so as to evaluate the spatial and temporal situation of regional water resources carrying capacity more accurately. In this article, by using the fuzzy relation between the identical, discrepancy and contrary degree as the basis of calculation, the partial certainty between them is solved, and the distribution mode of the coefficient of difference degree is improved. The method is applied to the dynamic evaluation of regional water resources carrying capacity. The application results show that: 1) The results obtained by the improved distribution method of difference coefficient are basically consistent with the actual situation of water resources carrying capacity in Anhui Province. 2) The water resources carrying capacity in Anhui Province from 2011 to 2015 has a trend of good development with time, but it is still in the critical condition. According to the spatial distribution, the status in Anhui Province is gradually improved from north to south, in which the north is in a state of overload, the middle is in a critical state of overload, and the south is in a state of being able to carry. In terms of sub-systems, the bearing capacity is larger in south, the pressure in north is greater, and the control power is on the larger side of middle Anhui and southern Anhui. 3) The evaluation results show that the northern Anhui Province is in an overload situation, mainly due to the weak support of water resources; relative balanced development among load-bearing subsystems is the main reason for the critical condition of load-bearing in central Anhui Province; southern Anhui Province has the best water resources carrying capacity, benefiting from strong control and support force. Above all, the results of the dynamic evaluation analysis are reasonable and reliable. Since the fact that the method is very intuitive and simple, it has proved that the method has considerable value in popularizing and applying in the dynamic evaluation and analysis of the carrying capacity of other resources and environment.