基于不确定性推理与Fuzzy评判模型的智能选药系统

针对目前非处方药使用中用药不对症、药品种类多难以选出最满意药品的问题,提出了开发非处方药智能选择系统,用计算机实现常见轻微疾病的专家级诊断,获得对症的非处方药,然后根据用户购药时关注药品的不同角度和不同程度,采用二级模糊综合评判模型对对症的非处方药进行满意度评价,按满意度高低依次推荐。智能选药系统可以帮助公众方便地获得最满意的对症药品,指导公众安全、合理使用非处方药。

An OTC intelligently choosing system based on uncertainty reasoning and Fuzzy model

For the problems that the OTC used maybe not be proper for symptoms and it is difficult to choose the most satisfactory one from a lot of OTCs,an intelligently OTC chosen system was given.The system can diagnose common slight illnesses at an expert-level,gets all of the OTC which is proper for the diagnosed illness,and then according to the different aspects and different degrees of people focued on, it can evaluate the satisfaction with the OTC via two-level fuzzy synthetic judgement,and can recommend with satisfaction from high to low.This system can help people to correctly diagnose an illness and easily get the satisfactory OTC,and can instruct them to use the OTC safely and reasonably.