New Results on Fuzzy Regression by Using Genetic Programming

Authors:
Wolfgang Golubski
Affiliations:
-
Venue:
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Year:
2002

Citing 6
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Abstract

In this paper we continue the work on symbolic fuzzy regression problems. That means that we are interested in finding a fuzzy function f, which best matches given data pairs (Xi, Yi) 1 驴 i 驴 k of fuzzy numbers. We use a genetic programming approach for finding a suitable fuzzy function and will present test results about linear, quadratic and cubic fuzzy functions.