Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution

The problem of uncertainty often becomes an obstacle, especially in terms of diagnosing the provision in this study. There is an algorithm that can solve this problem is Dempster-shafer (D-S), this algorithm has belief value that serves to determine the influence between symptoms. Belief value is ob...

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Main Authors: Merry Gricelya Nababan, Yusuf Priyo Anggodo, Rekyan Regasari Mardi Putri
Format: Article
Language:English
Published: University of Brawijaya 2017-11-01
Series:JITeCS (Journal of Information Technology and Computer Science)
Online Access:http://jitecs.ub.ac.id/index.php/jitecs/article/view/31
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author Merry Gricelya Nababan
Yusuf Priyo Anggodo
Rekyan Regasari Mardi Putri
author_facet Merry Gricelya Nababan
Yusuf Priyo Anggodo
Rekyan Regasari Mardi Putri
author_sort Merry Gricelya Nababan
collection DOAJ
description The problem of uncertainty often becomes an obstacle, especially in terms of diagnosing the provision in this study. There is an algorithm that can solve this problem is Dempster-shafer (D-S), this algorithm has belief value that serves to determine the influence between symptoms. Belief value is obtained from experts, when there are new symptoms must have to ask the experts to know the value of belief, and takes time as well. So the Particle Swarm Optimization (PSO) algorithm will help generate and optimize the value of belief in D-S. PSO is able to produce optimal belief value. This research is to generate value belief D-S with PSO.
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spelling doaj.art-8a3b5c08e1d044bb80429a8fa3557ba42024-03-27T08:13:23ZengUniversity of BrawijayaJITeCS (Journal of Information Technology and Computer Science)2540-94332540-98242017-11-012210.25126/jitecs.2017223123Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of PersecutionMerry Gricelya Nababan0Yusuf Priyo Anggodo1Rekyan Regasari Mardi Putri2Universitas BrawijayaUniversitas BrawijayaUniversitas BrawijayaThe problem of uncertainty often becomes an obstacle, especially in terms of diagnosing the provision in this study. There is an algorithm that can solve this problem is Dempster-shafer (D-S), this algorithm has belief value that serves to determine the influence between symptoms. Belief value is obtained from experts, when there are new symptoms must have to ask the experts to know the value of belief, and takes time as well. So the Particle Swarm Optimization (PSO) algorithm will help generate and optimize the value of belief in D-S. PSO is able to produce optimal belief value. This research is to generate value belief D-S with PSO.http://jitecs.ub.ac.id/index.php/jitecs/article/view/31
spellingShingle Merry Gricelya Nababan
Yusuf Priyo Anggodo
Rekyan Regasari Mardi Putri
Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
JITeCS (Journal of Information Technology and Computer Science)
title Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
title_full Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
title_fullStr Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
title_full_unstemmed Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
title_short Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
title_sort belief value development in dempster shafer with particle swarm optimization pso for determining of the provision on cases of persecution
url http://jitecs.ub.ac.id/index.php/jitecs/article/view/31
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