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
![[thumbnail of Artikel]](http://eprints.ust.ac.id/style/images/fileicons/text.png)
96-Article Text-289-1-10-20210601.pdf - Published Version
Download (394kB)
![[thumbnail of Per Review]](http://eprints.ust.ac.id/style/images/fileicons/other.png)
2. Implementation Of Forward Inference Reasoning Implementing The Dempster-Shafer Method For Diagnosis Of Lung Disease Symptoms..pdf - Published Version
Download (505kB)
![[thumbnail of Cek Plagiat]](http://eprints.ust.ac.id/style/images/fileicons/other.png)
2. PCX - Report.pdf - Published Version
Download (280kB)
![[thumbnail of Sertifikat Akreditasi]](http://eprints.ust.ac.id/style/images/fileicons/image.png)
sertifikat Infokum.png - Other
Download (332kB)
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 |