Fuzzy Logic and Dempster-Shafer belief theory to detect the risk of disease spreading of African Trypanosomiasis

Abstract

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.