An Improving and Application of Attribute Reduction Arithmetic in Agroclimatology

Introducing the granular computing and rough set and carrying two basic attribute reduction arithmetic. In this paper, by anglicizing and contrasting the attribute reduction arithmetic in rough set model of granular computing, proposing the improved arithmetic for agroclimatology. At a work it takes core attributes by constructing discernable matrix, and then uses them for heuristic information to next reduction, gained rational attribute set finally.