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

Authors

  • Merry Gricelya Nababan Universitas Brawijaya
  • Yusuf Priyo Anggodo Universitas Brawijaya
  • Rekyan Regasari Mardi Putri Universitas Brawijaya

DOI:

https://doi.org/10.25126/jitecs.20172231

Abstract

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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Published

2017-11-05

How to Cite

Nababan, M. G., Anggodo, Y. P., & Putri, R. R. M. (2017). Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution. Journal of Information Technology and Computer Science, 2(2). https://doi.org/10.25126/jitecs.20172231

Issue

Vol. 2 No. 2: November 2017

Section

Articles

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