Fuzzy Logic and Mathematical Theory of Evidence to Detect the Risk of Disease Spreading of Highly Pathogenic Avian Influenza H5N1

作     者：Andino Maseleno Md. Mahmud Hasan Norjaidi Tuah Charles Rangga Tabbu 

作者机构：Computer Science Program Universiti Brunei Darussalam Negara Brunei Darussalam Faculty of Information Technology Kazakh British Technical University Kazakhstan Faculty of Veterinary Medicine Gadjah Mada University Indonesia 

出 版 物：《Procedia Computer Science》 (计算机科学会议集)

年 卷 期：2015年第57卷

页      面：348-357页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Fuzzy logic theory of evidence the risk of disease spreading Highly Pathogenic Avian Influenza H5N1 

摘      要：This research presents Fuzzy Logic and mathematical theory of evidence implement to detect the risk of disease spreading of Highly Pathogenic Avian Influenza H5N1. This research has considered population changes in an area to detect the risk of disease spreading of Highly Pathogenic Avian Influenza H5N1. Population density in the area include very low, low, medium, high and very high. The result reveals that the system has successfully identified the risk of disease spreading, moreover the maps can be displayed as the visualization. The highest percentage of the risk of disease spreading of Highly Pathogenic Avian Influenza H5N1 is 20%. Fuzzy Logic and mathematical theory of evidence have shown good results to detect the risk of disease spreading of Highly Pathogenic Avian Influenza H5N1. The risk of disease spreading of Highly Pathogenic Avian Influenza H5N1 in areas which include Batang, Kendal, Kota Magelang, Kota Salatiga, Kota Semarang, Magelang, Semarang, Temanggung, Wonosobo.