Fuzzy regression compared to classical experimental design in the case of flywheel assembly

Authors:
Jacek Pietraszek
Affiliations:
Cracow University of Technology, Krakow, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

This paper presents the fuzzy regression approach to the automotive industry optimization problem. The flywheel assembly process is subject to investigation, as its parameters require optimization. The paper contains: problem definition, presentation of the measured data and the final analysis with two alternative approaches: the fuzzy regression and the classical regression. The benefits of the fuzzy regression approach are shown in the case of small size samples.