The invention discloses a method for modeling a Takagi-Sugeno-Kang (TSK) fuzzy system with the mankind learning ability. The method mainly takes the TSK fuzzy system as a research object, on the basis, the traditional TSK model is utilized to integrate the historic store (model parameters) which is obtained by historical data training into a current scene training model, furthermore, the fuzzy system with the mankind learning ability is obtained through the method, i.e. the TSK mankind learning fuzzy system. The method has the advantages that the obtained TSK fuzzy system not only can fully utilize the data information of the current scene, but also can effectively utilizes the historical store to carry out transfer assisted learning, and has the capability of succeeding the historical store to make up the information loss of the current scene.