Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

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dc.citation.spagee0246857.
dc.citation.volume16
dc.contributor.authorNedeljković, Miroslav
dc.contributor.authorPuška, Adis
dc.contributor.authorDoljanica, Suzana
dc.contributor.authorVirijević Jovanović, Saša
dc.contributor.authorBrzaković, Pavle
dc.contributor.authorStević, Željko
dc.contributor.authorMarinkovic, Dragan
dc.date.accessioned2023-06-02T10:55:41Z
dc.date.available2023-06-02T10:55:41Z
dc.date.issued2021
dc.description.abstractDecision making is constantly present in agriculture. Choosing the wrong variety carries the risk that the investment in terms of sowing does not pay off at all. Therefore, it is necessary to choose the variety that gives the best results. In order to achieve this, it is necessary to apply multi- criteria decision-making of available varieties, which is, in this paper, done on the example of hybrid varieties of rapeseed that were created by selection at the Institute of Field and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC (Multi-Attributive Border Approximation area Comparison) method has been used. The results obtained using the novel integrated fuzzy MCDM model showed that the variety A2 – Zorica has the best results, followed by A1 - NS Ras, while the worst results were seen by the variety A5 - Zlatna. These results were confirmed using other five fuzzy MCDM methods. Sensitivity analysis—changing criteria weights showed the worst results in the variety A6 - Jovana, which took last place in the application of 18 scenarios. The presented model and the results of this research will help farmers to solve this decision problem.
dc.identifier.doi10.1371/journal.pone.0246857
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/265
dc.language.isoen
dc.publisherPLOS
dc.sourcePLOS ONE
dc.titleEvaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model
dc.typeArticle
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Саобраћајни факултет [Научни радови] / Faculty of Transport and Traffic Engineering [Scientific papers]