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MPLEMENTATION OF FORWARD INFERENCE REASONING IMPLEMENTING THE DEMPSTER-SHAFER METHOD FOR DIAGNOSIS OF LUNG DISEASE SYMPTOMS

Limbong, Tonni and Rikki, Alex (2021) MPLEMENTATION OF FORWARD INFERENCE REASONING IMPLEMENTING THE DEMPSTER-SHAFER METHOD FOR DIAGNOSIS OF LUNG DISEASE SYMPTOMS. INFOKUM, 9 (2). pp. 106-118. ISSN 2302-9706

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2. Implementation Of Forward Inference Reasoning Implementing The Dempster-Shafer Method For Diagnosis Of Lung Disease Symptoms..pdf - Published Version

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Abstract

Artificial intelligence is an effort to transfer intelligence that is added to a system that can be regulated in a scientific context or can be called artificial intelligence so that machines (computers) can do work as humans can do. Lung disease is a condition in which the lungs cannot function normally. Some of the most common include asthma, chronic obstructive pulmonary disease (COPD), pneumonia, tuberculosis, and lung cancer. The Dempster-Shafer method was first introduced by Dempster, who experimented with uncertainty models with a range of probabilities rather than a single probability. Application of the Dempster-Shafer method to diagnose lung disease, it can be concluded that inference techniques are easy to use in designing expert systems to get a conclusion but, it has weaknesses in finding these conclusions if the system has a large enough knowledge base and this will be very much use time and hinder the consultation process

Item Type: Article
Subjects: Informatika > Artificial Inteligence
Divisions: Fakultas Ilmu Komputer > S1-Sistem Informasi
Depositing User: Tonni Tonni Limbong
Date Deposited: 10 Apr 2023 17:26
Last Modified: 13 Apr 2023 01:26
URI: http://eprints.ust.ac.id/id/eprint/10

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