Title :
A study on fuzzy modeling for incorporating human knowledge using fusion axes
Author :
Yamamoto, Kosuke ; Furuhashi, Takeshi ; Yoshikawa, Tomohiro ; Horikawa, Shin-ichi
Author_Institution :
Dept. of Inf. Eng., Mie Univ., Japan
Abstract :
Fuzzy modeling is an effective method to construct an interpretable model. This paper proposes a method that incorporates human knowledge using "fusion axes". Human knowledge is often available with simplified expressions. The fusion axes that are proposed by the authors are linear combinations of multiple inputs that are reduce input dimensions for visualizing models with multi-input system. This paper is dealing with a method that makes the simple linguistic expressions by humans and the model in the "fused space" correspond with each other. A simulation is carried out to demonstrate the potentiality of the fusion axes.
Keywords :
fuzzy set theory; fuzzy systems; genetic algorithms; modelling; fused space; fusion axes; fuzzy modeling; human knowledge; human linguistic expression; linear combination; multiinput system; Fusion power generation; Fuzzy neural networks; Humans; Information technology; Input variables; Knowledge engineering; Marine vehicles; Neural networks; Predictive models; Visualization;
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7866-0
DOI :
10.1109/CIRA.2003.1222088