A genetic algorithm for generating maximal consistent subsets from inconsistent data

We developed a theory to make a formulation of fuzzy subsets and k-partitions from inconsistent data based on maximal consistent subsets developed by ourselves. To solve the most difficult point in the method of formulating fuzzy subsets from inconsistent data based on a maximal consistent subset, a genetic algorithm using a recombination operator based on the concept of forma proposed by Radcliffe (1991) is used as an extension of the usual schemata.