A predicting method of a plurality of wildfire propagation areas is proposed to predict an occurrence probability of the wildfire propagation areas in a network. The predicting method of the wildfire propagation areas includes a network establishing step, a normalized adjacency matrix establishing step, a node ranking value calculating step, a state ranking value calculating step, a beginning node determining step and an occurrence probability calculating step. The network establishing step is performed to construct a plurality of nodes and a plurality of links connected to the nodes in the network. The normalized adjacency matrix establishing step is performed to construct a normalized adjacency matrix according the nodes and the links of the network. The node ranking value calculating step is performed to calculate a ranking value of each of the nodes according to a degree of each of the nodes, and find out a plurality of states of each of the nodes. The degree represents the number of the links connected to each of the nodes. The state ranking value calculating step is performed to calculate a state ranking value and a state probability of each of the nodes according to the ranking value and the states of each of the nodes. The beginning node determining step is performed to determine a beginning node of the wildfire propagation areas and the states corresponding to the beginning node according to a largest one of the state ranking values of the nodes. The occurrence probability calculating step is performed to enumerate all the states corresponding to the beginning node by a dynamic binary-addition tree algorithm, and calculate the occurrence probability of the wildfire propagation areas corresponding to the beginning node according to the state probability. Therefore, the present disclosure can be served as a fast, simple, effective and reliable tool in predicting the occurrence probability of the wildfire propagation areas. |