ReviewMethodsX2024
Introducing a Novel multi-criteria Ranking of Alternatives with Weights of Criterion (RAWEC) model.
Review in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Twelve tips for using educational data mining and machine learning to predict performance in high-stakes health professions education exams.Journal of education and health promotion · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optimal selection of agricultural distribution center location significantly impact the agricultural industry's growth and regional development, as they enhance product accessibility for customers and streamline delivery for suppliers. Research presented in this paper focuses on the selection of locations for the needs of an agricultural distribution center using a new method of multi-criteria decision making (MCDM), referred as the Ranking Alternatives with Weights of Criterion (RAWEC) method. On a real-world example, the Brčko District of Bosnia and Herzegovina was evaluated for potential sites for the formation of an agricultural distribution center. The Logarithm Methodology of Additive Weights (LMAW) method was employed to calculate criterion weights, while potential locations were ranked using the novel RAWEC method. Additional analyses, including result validation, dynamic decision matrix and sensitivity analysis validated the use of the RAWEC method in the problem of ranking alternatives by demonstrating that the ranking order obtained by this method is consistent and constant. Furthermore, the simplicity and small number of steps of RAWEC method distinguished it from other MCDM methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.