17. AUTOMATICAL ACQUISITION OF FUZZY KNOWLEDGE FROM MULTT DIMENTIONAL DATA

Abstract

We propose the fuzzy modeling system using human's experience and the hulistic clustering. The hulistic clustering method separates the space of variables into some fuzzy subspaces, and then- are unified step by step. The modeling system consists of two parts ; the data analysis part and identification part. In this paper, we extend the hulistic clustemg for multi dimentional data. Finally, we show result for modeling of fuzzy logic controler.