A rough set foundation for spatial data mining involving vague regions

The RCC and egg-yolk methods have proven useful for representation of vague regions in spatial data. Here we model them using rough set theory. This then develops the basis to allow a rough set approach to uncertainty in spatial relationships for association rules and other forms of spatial data mining.