PROCEEDINGS IPMU '08

A Differential Evolution Algorithm for computing the Fuzzy Variance

Luciano Stefanini.

We propose a differential evolution
(DE) algorithm for the calculation of
the interval and fuzzy variance. In particular,
we see that the DE methods can
be efficient for the fuzzy variance of a
relatively high number of fuzzy data;
computational results with up to 100
data show that the number of function
evaluations to obtain the estimated
global solutions grows less then quadratically
with the number of data.

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