Abstract: Credit and risk rank evaluation for consumer paying electric power charges is an important means to guarantee the creditor's rights security and validity for power enterprises.This system utilizes the automatic collection procedure to gain data from power generation companies or enterprises’ original marketing and financial system,and then uses optimal fuzzy probability and neural network  to rank electrical fee credit for customers and establish electrical fee risk advance warning mechanism.Finally,according to the appraisal results,classification management measure is proposed to promote electrical fee recycling and guarantee power generation enterprises to fully cash their management products.

Key words: classified management, fuzzy optimization, credit rank evaluation, risk advance warning