Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-11821
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Main Title: Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model
Author(s): Nedeljković, Miroslav
Puška, Adis
Doljanica, Suzana
Jovanović, Saša Virijević
Brzaković, Pavle
Stević, Željko
Marinkovic, Dragan
Type: Article
Language Code: en
Abstract: Decision 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.
URI: https://depositonce.tu-berlin.de/handle/11303/13025
http://dx.doi.org/10.14279/depositonce-11821
Issue Date: 25-Feb-2021
Date Available: 15-Apr-2021
DDC Class: 600 Technik, Technologie
Subject(s): fuzzy MABAC model
PIPRECIA
agriculture
Sponsor/Funder: DFG, 414044773, Open Access Publizieren 2021 - 2022 / Technische Universität Berlin
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: PLoS ONE
Publisher: PLOS
Publisher Place: San Francisco, California
Volume: 16
Issue: 2
Article Number: e0246857
Publisher DOI: 10.1371/journal.pone.0246857
EISSN: 1932-6203
Appears in Collections:FG Strukturmechanik und Strukturberechnung » Publications

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