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Merry Gricelya Nababan
Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution Merry Gricelya Nababan; Yusuf Priyo Anggodo; Rekyan Regasari Mardi Putri
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (31.232 KB) | DOI: 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.
Co-Authors Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Yusuf Priyo Anggodo