摘要
以消费者个人信用信息模糊化为基础 ,以“满意度”为评估标准 ,利用模糊推理规则模拟人脑处理模糊信息的思维过程和决策过程 ,构建了个人信用等级评估模型 。
Based on the fuzzy processing of consumer credit information,taking satisfactiondegreeasthe evaluation criterion,and with the aid of fuzzy inference rules to simulate the thinking and decision-making processes of the human brain, an individual credit grade evaluation model is created, which, in turn, provides a new solution to individual consumer scoring.
出处
《北方工业大学学报》
2004年第1期65-70,共6页
Journal of North China University of Technology
基金
北京市教委科技发展计划资助项目
关键词
消费者
多准则
模糊集
信用评估
满意度
multi-criteria
fuzzy set
credit scoring
satisfaction degree
