A proposal of probability type fuzzy inference and its application to precision plastic deformation algorithm

Proficiency in creating a knowledge base is required for high accuracy fuzzy control. To achieve this we propose a new fuzzy inference method utilizing probability density functions of scattering of measurement values defined as membership functions. In addition, to consider qualitative knowledge of the data distribution, we propose a method to determine the membership functions using the distributions of grade accumulation. We apply the proposed method to automatic high accuracy adjustment devices for magnetic heads