Decision tree production algorithm based on RS
Zhu Hon · Computer and Information Technology · 2002
Decision tree,which is effectivelyused in the classification of Data mining,usually selects the subbranch attributes through great amount of entropy calculations.This paper,employs the concept of relatively positive region to find another equivalent demonstration method of entropy.Only by some simple sets calculations can the consistent and inconsistent decision tables result respectively in their certain and uncertain decision trees.Then the classification rules can be achieved.