Data Rectification Based on Fuzzy Self-adaptability Genetic Algorithm
Xiaoming Xu · Huagong zidonghua ji yibiao · 2007
An on-table-job approach on classifying the nonlinear data within the data rectification was presented,with which the data reconciliation can proceed more accurately.The triangular fuzzy distribution of the fuzzy data reconciliation model was introduced into the genetic algorithm for the up and down limitations of the mutation.The crossover operator was modified by self-adaptability.So a method of data reconciliation is formulated based on fuzzy adaptability.Lots of simulations have been done about the process of steady multi-components rectify by this method.The results show that the algorithm is effective.