Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
| Main Authors: | Nababan, Merry Gricelya, Anggodo, Yusuf Priyo, Putri, Rekyan Regasari Mardi |
|---|---|
| Other Authors: | Rekyan Regasari Mardi Putri, Universitas Brawijaya,Lecturer of Department of Computer Science. Yusuf Priyo Anggodo, Universitas Brawijaya, Department of Computer Science |
| Format: | Article info application/pdf Journal |
| Bahasa: | eng |
| Terbitan: |
Faculty of Computer Science (FILKOM) Brawijaya University
, 2017
|
| Online Access: |
http://jitecs.ub.ac.id/index.php/jitecs/article/view/31 http://jitecs.ub.ac.id/index.php/jitecs/article/view/31/24 http://jitecs.ub.ac.id/index.php/jitecs/article/downloadSuppFile/31/4 |
Daftar Isi:
- 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.