Determining the Prioritized Victim of Earthquake Disaster Using Fuzzy Logic and Decision Tree Approach | Zendy

Mohammed Ali Berawi | Zendy; Sutan Akbar Onggar Siahaan | Zendy; Gunawan Gunawan | Zendy; Perdana Miraj | Zendy; Pekka Leviäkangas | Zendy

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Determining the Prioritized Victim of Earthquake Disaster Using Fuzzy Logic and Decision Tree Approach

Author(s) -

Mohammed Ali Berawi,

Sutan Akbar Onggar Siahaan,

Gunawan Gunawan,

Perdana Miraj,

Pekka Leviäkangas

Publication year - 2020

Publication title -

evergreen

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.378

H-Index - 11

eISSN - 2432-5953

pISSN - 2189-0420

DOI - 10.5109/4055227

Subject(s) - fuzzy logic , computer science , decision tree , tree (set theory) , mathematics , data mining , artificial intelligence , mathematical analysis

The purpose of this study is twofold: to create the foundation for the application development capable to connect rescuers to the victims of earthquake disaster and to determine who needs help the most. To achieve these objectives, the fuzzy expert method, decision tree, and expert knowledge bases are used. The results from fuzzy logic and decision tree analysis show that there is a high accuracy in the decision used to determine the prioritized victims that urgently need to be rescued during emergency response phase of disaster management.

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