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

International Journal of Advances in Intelligent Informatics

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Field Value
 
Title VIKOR multi-criteria decision making with AHP reliable weighting for article acceptance recommendation
 
Creator Wibawa, Aji Prasetya
Fauzi, Juwita Annisa
Isbiyantoro, Seno
Irsyada, Rahmat
Dhaniyar, Dhaniyar
Hernandez, Leonel
 
Subject DSS MCDM AHP VIKOR
 
Description 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.
 
Publisher Universitas Ahmad Dahlan
 
Contributor
 
Date 2019-04-03
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/172
10.26555/ijain.v5i2.172
 
Source International Journal of Advances in Intelligent Informatics; Vol 5, No 2 (2019): July 2019; 160-168
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/172/ijain_v5i2_p160-168
 
Rights https://creativecommons.org/licenses/by-sa/4.0
 

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