New Results on Fuzzy Regression by Using Genetic Programming
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 (X i,Y i ) 1 ≤i ≤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.
KeywordsEvolutionary Algorithm Fuzzy Number Genetic Programming Triangular Fuzzy Number Fuzzy Function
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