A type-2 fuzzy logic based system for malaria epidemic prediction in ethiopi

المؤلفون المشاركون

Chekol, Belay Enyew
Hagras, Hani

المصدر

Journal of Science and Technology : in Engineering and Computer Sciences

العدد

المجلد 21، العدد 1 (30 يونيو/حزيران 2020)، ص ص. 42-54، 13ص.

الناشر

جامعة السودان للعلوم و التكنولوجيا عمادة البحث العلمي

تاريخ النشر

2020-06-30

دولة النشر

السودان

عدد الصفحات

13

الموضوع الرئيسي

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

Malaria is the most prevalent mosquito-borne disease throughout tropical and subtropical regions of the world with severe medical, economic, and social impact. Malaria is a serious public health problem in Ethiopia since 1959, even if, its morbidity and mortality have been reduced starting from 2001. Various studies were conducted to predict the malaria epidemic using mathematical and statistical approaches, nevertheless, they had no learning capabilities. In this paper, we present a Type-2 Fuzzy Logic Based System for Malaria epidemic prediction in Ethiopia which was trained using real data collected throughout Ethiopia from 2013 to 2017. Fuzzy Logic Based Systems provide a transparent model which employs IF-Then rules for the prediction that could be easily analyzed and interpreted by decision-makers. This is quite important to fight the sources of Malaria and take the needed preventive measures where the generated rules from our system were able to explain the situations and intensity of input factors which contributed to Malaria epidemic incidence up to three months ahead. The presented Type-2 Fuzzy Logic System (T2FLS) learns its rules and fuzzy set parameters from data and was able to outperform its counterparts T1FLS in 2% and ANFIS in 0.33% in the accuracy of prediction of Malaria epidemic in Ethiopia. In addition, the proposed system did shed light on the main causes behind such outbreaks in Ethiopia because of its high level of interpretability

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Chekol, Belay Enyew& Hagras, Hani. 2020. A type-2 fuzzy logic based system for malaria epidemic prediction in ethiopi. Journal of Science and Technology : in Engineering and Computer Sciences،Vol. 21, no. 1, pp.42-54.
https://search.emarefa.net/detail/BIM-944903

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Chekol, Belay Enyew& Hagras, Hani. A type-2 fuzzy logic based system for malaria epidemic prediction in ethiopi. Journal of Science and Technology : in Engineering and Computer Sciences Vol. 21, no. 1 (2020), pp.42-54.
https://search.emarefa.net/detail/BIM-944903

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Chekol, Belay Enyew& Hagras, Hani. A type-2 fuzzy logic based system for malaria epidemic prediction in ethiopi. Journal of Science and Technology : in Engineering and Computer Sciences. 2020. Vol. 21, no. 1, pp.42-54.
https://search.emarefa.net/detail/BIM-944903

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 52-54

رقم السجل

BIM-944903