Research on selecting the credit evaluation indexes to the electric customers

Evaluation indexes are the basis of evaluating the customers´ credit, which decide whether right or not the evaluations to the electric customers´ credit are. To select credit evaluation indexes scientifically, this paper introduces the data-reduction methods in rough set theory into selecting the electric customers´ credit evaluation indexes, puts forward the approach of selecting credit evaluation indexes to the electric customers applying rough set theory, and makes a feasibility analysis in applying rough set theory to selecting the evaluation indexes. Finally, the credit evaluation index system to the electric customers is set up and an example is used to validate the approach.