Agricultural Faculty, University of Bijeljina, Bijeljina, Bosnia and Herzegovina.
Government of the Brčko District of BiH, Brčko, Bosnia and Herzegovina.
PLoS One. 2021 Feb 25;16(2):e0246857. doi: 10.1371/journal.pone.0246857. eCollection 2021.
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.
决策在农业中无处不在。选择错误的品种可能意味着播种投资根本无法获得回报。因此，有必要选择能带来最佳效果的品种。为了实现这一目标，有必要对可用品种进行多准则决策，本文以在诺维萨德的田间和蔬菜作物研究所通过选择创建的油菜杂交品种为例进行了说明。通过应用模糊逻辑，开发了一种新颖的综合多准则决策（MCDM）模型，并对油菜品种进行了评估。为了确定四个主要标准和 20 个子标准，应用了基于模糊 Bonferroni 算子的模糊 PIPRECIA（PIvot Pairwise RElative Criteria Importance Assessment）方法，而对于替代方案的排名则应用了模糊 MABAC（Multi-Attributive Border Approximation area Comparison）方法。使用新颖的综合模糊 MCDM 模型获得的结果表明，品种 A2-Zorica 的结果最好，其次是 A1-NS Ras，而品种 A5-Zlatna 的结果最差。这一结果通过其他五种模糊 MCDM 方法得到了证实。敏感性分析——改变标准权重的分析表明，品种 A6-Jovana 的结果最差，在 18 种情况下，它的排名最后。所提出的模型和本研究的结果将帮助农民解决这一决策问题。
