Aiming at the problem of low integration efficiency of uncertain data, this paper constructs a generalized penalty function feasibility criteria(GPFFC) based on region segmentation, analyzes the characteristics of the iterative point feature and the nature and advantages of the screening criterion in the segmented search region, and proposes a improved DE algorithm based on GPFFC(DE-GPFFC). The numerical results of the UCI uncertain data set show that the optimal feasible point tends to have a probability distribution of 0.5 in the uncertain data set, and other data points tend to have a probability of 0,1 distribution, wherein the data points tending to the probability of 0.5 are located in the feasible domain int(D) $, other data points are located in the non-feasible domain out(D)$. The DE-GPFFC algorithm makes the indeterminate data set cross-region search at the feasible domain boundary Round(D)$, which effectively improves the efficiency of uncertainty data classification integration.