Abstract
In this paper GFI (Generalized Fuzzy Isodata) and FI (Fuzzy Isodata) algorithms are studied and applied
to the tire tread pattern classification problem. GFI algorithm which repeatedly grouping the partitioned
cluster depending on the fuzzy partition matrix is general form of GI algorithm. In the constructing the binary
tree using GFI algorithm cluster validity, namely, whether partitioned cluster is feasible or not is
checked and construction of the binary tree is obtained by FDH clustering algorithm. These algorithms
show the good performance in selecting the prototypes of each patterns and classifying patterns.
Directions of edge in the preprocessed image of tire tread pattern are selected as features of pattern.
These features are thought to have useful information which well represents the characteristics of
patterns.
본 논문에서는 자기조정 퍼지제어기의 한 설계기법을 제안하고, 이를 전력계통 안정화에 적용하였다. 제안된 퍼지제어기의 파라미터는 최급강하법에 의하여 멤버쉽 함수의 중심치와 폭이 최적인 값으로 자지고정 되어진다. 이를 전력계통에 적용한 결과 제안된 제어기법이 종래의 제어기법보다 응답특성이 우수함을 보였다.