论文标题
设计多媒体专家诊断疾病系统使用模糊逻辑（MEDDSFL）
Design Multimedia Expert Diagnosing Diseases System Using Fuzzy Logic (MEDDSFL)
论文作者
论文摘要
在本文中，我们设计了一个有效的专家系统来诊断人类的疾病。该系统取决于不同疾病的几种临床特征，这些疾病将用作该系统的知识库。我们使用模糊逻辑系统，这是用于构建专家系统知识库的最专家系统技术之一。模糊逻辑将用于推断疾病诊断的结果。我们还为系统提供了多媒体，例如在系统中实现的大多数疾病的视频，图片和信息。研究了使用MATLAB工具箱和15种疾病实施的系统。在该系统上已经测试了正常，受影响和未受影响的人的不同疾病的五个病例。结果表明，系统能够预测人类是否患有疾病是否准确。所有系统结果均在表中报告，并详细讨论。
In this paper we designed an efficient expert system to diagnose diseases for human beings. The system depended on several clinical features for different diseases which will be used as knowledge base for this system. We used fuzzy logic system which is one of the most expert systems techniques that used in building knowledge base of expert systems. Fuzzy logic will be used to inference the results of disease diagnosing. We also provided the system with multimedia such as videos, pictures and information for most of disease that have been achieved in our system. The system implemented using Matlab ToolBox and fifteen diseases were studied. Five cases for normal, affected and unaffected people's different diseases have been tested on this system. The results show that system was able to predict the status whether a human has a disease or not accurately. All system results are reported in tables and discussed in detail.
