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首页> 外文会议>International Conference on Digital Information Processing and Communications >Fuzzy Logic and Dempster-Shafer belief theory to detect the risk of disease spreading of African Trypanosomiasis
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Fuzzy Logic and Dempster-Shafer belief theory to detect the risk of disease spreading of African Trypanosomiasis

机译：模糊逻辑和Dempster-Shafer信念理论用于检测非洲锥虫病疾病传播的风险

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This research presents the risk of disease spreading of African Trypanosomiasis using Fuzzy logic and Dempster-Shafer belief theory. Integrating Fuzzy Logic and Dempster-Shafer belief theory by calculating the similarity between Fuzzy membership function in the context to detect the risk of disease spreading of African Trypanosomiasis and finally to develop a realistic and useful Web mapping for displaying maps on a screen to locate the risk of African Trypanosomiasis spreading. The risk of African Trypanosomiasis spreading is not classified according to higher population density which is equal to higher risk. This research has considered population changes in an area to detect the risk of African Trypanosomiasis spreading. The experts provide opinion in terms of basic probability assignment for interval or crisp focal elements. Those basic probability assignments are proposed based on the similarity measure between membership function. The similarity between Fuzzy membership function is calculated to get basic probability assignment. The highest percentage of the risk of disease spreading of African Trypanosomiasis is 17%. In Angola and Zambia, the highest basic probability assignment of the risk of disease spreading of African Trypanosomiasis is very low which is equal to 0.173. The risk of disease spreading of African Trypanosomiasis in areas which include Angola, Botswana, Congo, Congo DRC, Malawi, Mozambique, Namibia, Tanzania, Zambia, and Zimbabwe.
机译：这项研究使用模糊逻辑和Dempster-Shafer信念理论提出了非洲锥虫病传播疾病的风险。通过计算上下文中的模糊隶属函数之间的相似度，将模糊逻辑和Dempster-Shafer信念理论相结合，以检测非洲锥虫病传播疾病的风险，并最终开发出一种实用且有用的Web映射，以便在屏幕上显示地图以定位风险非洲锥虫病传播。非洲锥虫病传播的风险未根据人口密度的增加进行分类，而人口密度等于较高的风险。这项研究考虑了某个地区的人口变化，以检测非洲锥虫病传播的风险。专家根据间隔或清晰焦点元素的基本概率分配提供意见。基于隶属度函数之间的相似性度量，提出了这些基本概率分配。计算模糊隶属度函数之间的相似度以获得基本概率分配。非洲锥虫病的最高传播风险百分比是17％。在安哥拉和赞比亚，非洲锥虫病疾病传播风险的最高基本概率分配非常低，等于0.173。非洲锥虫病在以下地区传播疾病的风险：安哥拉，博茨瓦纳，刚果，刚果民主共和国，马拉维，莫桑比克，纳米比亚，坦桑尼亚，赞比亚和津巴布韦。

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