International Journal of Advances in Intelligent Informatics
Vol 5, No 2 (2019): July 2019

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

Aji Prasetya Wibawa (Universitas Negeri Malang)
Juwita Annisa Fauzi (Universitas Negeri Malang)
Seno Isbiyantoro (Universitas Negeri Malang)
Rahmat Irsyada (Universitas Negeri Malang)
Dhaniyar Dhaniyar (Universitas Negeri Malang)
Leonel Hernandez (Faculty of Engineering, Institución Universitaria ITSA)

Article Info

Publish Date
03 Apr 2019

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.

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Journal Info
International Journal of Advances in Intelligent Informatics
Website

Abbrev

IJAIN

Publisher

Universitas Ahmad Dahlan

Subject

Computer Science & IT

Description

International journal of advances in intelligent informatics (IJAIN) e-ISSN: 2442-6571 is a peer reviewed open-access journal published three times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and ...