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.

中文翻译：

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使用模糊逻辑（MEDDSFL）设计多媒体专家诊断疾病系统

在本文中，我们设计了一个高效的专家系统来为人类诊断疾病。该系统依赖于不同疾病的几个临床特征，这些特征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。将使用模糊逻辑来推断疾病诊断的结果。我们还为系统提供了多媒体，例如我们系统中实现的大多数疾病的视频、图片和信息。使用 Matlab ToolBox 实现的系统和十五种疾病进行了研究。已在该系统上测试了正常人、受影响人和未受影响人的不同疾病的五个案例。结果表明，该系统能够准确预测人类是否患病。所有系统结果都在表格中报告并详细讨论。