Risk assessment for transmission lines running based on reducing technology of rough sets
Ning Li · Power System Protection and Control · 2009
Knowledge reducing is an important way to obtain decision rules in rough sets theory.Combining the concepts and definitions of knowledge reducing,it introduces the attribute discretization algorithm of the Semi-Naive-Scaler,gives attributes reducing algorithm based on discernibility matrix,and also adopts the rules reducing algorithm combining with binarization data filtration based on discernibility matrix and greedy algorithm.Through attribute reduction and rule reduction,it obtains decision rules.Finally,an application example in risk assessment of transmission lines running is given.