IJAIN (International Journal of Advances in Intelligent Informatics) (Apr 2019)

VIKOR multi-criteria decision making with AHP reliable weighting for article acceptance recommendation

  • Aji Prasetya Wibawa,
  • Juwita Annisa Fauzi,
  • Seno Isbiyantoro,
  • Rahmat Irsyada,
  • Dhaniyar Dhaniyar,
  • Leonel Hernandez

DOI
https://doi.org/10.26555/ijain.v5i2.172
Journal volume & issue
Vol. 5, no. 2
pp. 160 – 168

Abstract

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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.

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