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

12Citations
Citations of this article
85Readers
Mendeley users who have this article in their library.

Abstract

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.

Author supplied keywords

Cite

CITATION STYLE

APA

Wibawa, A. P., Fauzi, J. A., Isbiyantoro, S., Irsyada, R., Dhaniyar, & Hernández, L. (2019). VIKOR multi-criteria decision making with AHP reliable weighting for article acceptance recommendation. International Journal of Advances in Intelligent Informatics, 5(2), 160–168. https://doi.org/10.26555/ijain.v5i2.172

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free