Sistem Pakar Kombinasi Metode Certainty Factor dan Dempster Shafer

Abstract

An expert system is a technique of artificial intelligence that uses certainty techniques to solve problems. There are several techniques that can be used to solve the problem of uncertainty, including the certainty factor method and the mathematical theory of Dempster Shafer. Both methods and techniques can be applied to solve expert system problems. However, each method has advantages and disadvantages in determining the diagnosis. In the expert system, there are 2 values ​​used for the diagnosis process, including the expert value taken from the expert hypothesis and the user value or evidence which is the value obtained based on the facts of an event. Dempster Shafer theory can only use the evidence value in determining the density value, while the certainty factor method can use evidence and hypothesis values. Thus, the combination made to overcome the weakness of one method by using the advantages of the other method is expected to produce a better certainty value.

Penerapan Metode Forward Chaining Dan Dempster-Shafer Pada Sistem Pakar Deteksi Dini Gangguan Kesehatan Mental

“…Plausibility bernilai 0 sampai 1. [5] Sistei m dei tei ksi mei nei ntui kan tingkat kei sei hatan mei ntal pei nggui na bei rdasarkan inpui t gei jala mei rei ka. Kei mui dian, bei rdasarkan hasil diagnosis, sistei m mei mbei rikan kei simpui lan dan solui si pei nanganan yang tei pat.…”

Sistem Pakar Diagnosa dan Troubleshooting Kerusakan Website Menggunakan Metode Dempster-Shafer

“…Dengan menggunakan sistem pakar ini, bahkan rata-rata orang bisa memecahkan masalah masalah yang sangat kompleks yang tidak dapat diselesaikan tanpa bantuan seorang pakar. Tujuan pengembangan sistem pakar sistem pakar betujuan untuk mempermudah seseorang dalam menggunkan satu perangkat lunak yang di adopsi dari seorang pakar tanpa menggantikan peran seorang pakar dengan biaya relatif kecil [6].…”

Expert System to Detect Online Game Addiction for University Students Using the Backward Chaining and Certainty Factor Approaches

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