Dynamic mining decision rules based on partial granulation
基于偏序粒的动态决策规则挖掘

Concerning decision table, the concept of partial granulation was introduced, and an algorithm of dynamic mining of decision rules based on partial granulation was proposed. By making use of the advantage of characterizing granularity of partial granulation, different from the single equivalence relation in the classical rough set theory, this algorithm can study one decision table from different angles and different hierarchies. The case study shows that this algorithm is effective.