Human-like Image Recognition by Consecutive Fuzzy Reasoning with Preconception

A human being is affected by "Preconception" by just before memory or impression. Therefore, in this paper, a more human consecutive fuzzy reasoning method that considered the three "Preconceptions" is proposed. The inputs, the outputs and the set of inputs are given individual "Preconception" by this inference method. And the next output is adjusted by influence of values of these "Preconception". Recognition of a kind of car names in running car images is applied to this inference method. And the experiment to examine the effectiveness of this inference method is performed. In all experiment results, the human and the consecutive workings of this inference method were confirmed. As a future work, it is necessary to give the system a little more flexibility.