Comparative Analysis Method of Certainty Factor, Dempster-Shafer, and The Probability of Damages Bayes Drone

Amrizal, Victor and Yansyah, Rifal Nofri and Masruroh, Siti Ummi and Khairani, Dewi (2020) Comparative Analysis Method of Certainty Factor, Dempster-Shafer, and The Probability of Damages Bayes Drone. In: ICIIS 2019, 7th-8th Nov 2019, Jakarta, Indonesia.

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Abstract

Drone unmanned aircraft. This aircraft is controlled automatically by a computer program that is designed, or by remote control from the pilot contained in the plains or in other vehicles. Technological developments make drones also began to be applied to civilian purposes, mainly in the fields of business, industry and logistics. Even so, the drones are still reaping a lot of criticism from many quarters. Based on the problems above, one way to minimize the damage of drones is by making expert system. This expert system is one branch of artificial intelligence (Artificial Intelligence), who learn how to adopt an expert way of thinking in solving a problem, making a decision and draw conclusions from the facts. In this study, the authors compared the results of three methods, namely expert system Dempster Shafer method, the method of Certainty Factor, Bayesian probability method. To compare the results of the third output method based on parameters Accuracy, Recall, precission and Error Rate.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: expert system certainty factor dempster shafer bayesian probability artificial intelligence certainty factor damage drones codeigniter css javascript
Subjects: H Social Sciences > H Social Sciences (General)
Depositing User: EAI Editor IV
Date Deposited: 24 Mar 2021 14:59
Last Modified: 24 Mar 2021 14:59
URI: https://eprints.eudl.eu/id/eprint/1986

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