VIKOR multi-criteria decision making with AHP reliable weighting for article acceptance recommendation
Main Authors: | Wibawa, Aji Prasetya, Fauzi, Juwita Annisa, Isbiyantoro, Seno, Irsyada, Rahmat, Dhaniyar, Dhaniyar, Hernandez, Leonel |
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Format: | Article info application/pdf eJournal |
Bahasa: | eng |
Terbitan: |
Universitas Ahmad Dahlan
, 2019
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Subjects: | |
Online Access: |
http://ijain.org/index.php/IJAIN/article/view/172 http://ijain.org/index.php/IJAIN/article/view/172/ijain_v5i2_p160-168 |
Daftar Isi:
- DSS is built to support the solution recommendation of a problem. AHP and VIKOR are examples of DSS method. Due to VIKOR’s subjective weighting, this study combines the AHP and VIKOR approach to create a better and more reliable decision support system. The DSS is used to recommend article acceptance using five criteria: originality, quality, clarity, significance, and relevance. The results showed that AHP-VIKOR outperforms the performance of VIKOR. AHP weighting reliably replaces the subjective VIKOR’s initial weighting. The AHP-VIKOR result is more accurate and steadier than VIKOR. Thus, AHP-VIKOR can be presented as a proposed approach for creating a recommendation of scientific article acceptance.