【摘要】 系统采用中文Windows2000,SQLSever/Oracle数据库作为开发平台,使用VisualBasic6.0为开发工具研制而成.系统借鉴银行方面信用等级评价的规则,结合各电力公司电费收缴的历史纪录及各客户的实际情况,运用自动采集程序,从各电力公司或企业原有的营销系统和财务系统自动录入数据,再通过优化的模糊概率、神经网络程序,对客户进行交纳电费信用等级评定,建立客户交纳电费风险预警机制,并根据评价结果提出促进电费回收的分类管理措施,确保电力企业经营成果及时足额兑现.同时,系统采用了先进的RSA加密算法,不但确保了在线评测的安全性,还能根据用户职责对其授予不同操作权限,从而确保评价的公正、准确.更多还原

【Abstract】 This system uses Windows2000,SQL Sever/Oracle database as platform and Visual Basic 6.0 as development tool.Using credit rank appraisal rule of bank as reference,this system combines historical electricity fee records and actual customers information and utilizes the automatic collection procedure to gain data from power generation companies or enterprises’original marketing and financial system.Then optimal fuzzy probability and neural network are used to rank electrical fee credit for customers and establish electrical fee risk advance warning mechanism.Finally,according to appraisal result,the classification management measure is proposed to promote electrical fee recycling and guarantee power generation enterprises to fully sell their management products.Furthermore,the system has used advanced RSA encryption algorithm which not only guarantees on-line evaluation security,but also secures different users’operation jurisdiction according to their responsibility,therefore ensures fair and accurate appraisal result.更多还原