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Group multi-criteria decision making (GMCDM) approach for selecting the most suitable table grape variety intended for organic viticulture

机译:集团多标准决策(GMCDM)方法,用于选择最适合有机葡萄栽培的鲜食葡萄品种

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摘要

When establishing a new vineyard, one of the major issues that have significant effect on successful production of high-quality grapes is choice of the most suitable variety. The large number of criteria that are necessary to be taken into account and the differences in their weight on the final decision allows the process of choosing grape variety to be considered as a multi-criteria decision making (MCDM) problem. This paper presents a group multi-criteria decision making (GMCDM) approach for selecting the most suitable table grape variety intended for organic viticulture. The approach combines multi-criteria decision making methods with field test results, laboratory analysis and expertise from professionals in the subject. The following methods were used: the Simple Additive Weighting (SAW) method, Analytical Hierarchical Process (AHP) and Dong's et al. Cardinal consensus model. All these methods were used throughout different hierarchy levels, which enabled a closer adaptation of the methods to the actual problem of decision-making, a more efficient use of available data, and maximum observance of expert knowledge and experience. The approach was presented through the selection of the most suitable of four table grape varieties grown at Sremski Karlovci experimental field of the Faculty of Agriculture in Novi Sad. Based on results obtained by applying the proposed approach and incorporating feedback from experts, it was found that this approach may improve the decision making process for selecting the most suitable table grape varieties for optimal production. (C) 2015 Elsevier B.V. All rights reserved.
机译:在建立新的葡萄园时,选择最合适的葡萄品种会对成功生产优质葡萄产生重大影响的主要问题之一。需要考虑的大量标准及其最终决定权重的差异使得选择葡萄品种的过程被视为多标准决策(MCDM)问题。本文提出了一种用于选择最适合用于有机葡萄栽培的鲜食葡萄品种的多标准决策组(GMCDM)方法。该方法将多标准决策方法与现场测试结果,实验室分析和该领域专业人士的专业知识相结合。使用了以下方法:简单加法加权(SAW)方法,层次分析法(AHP)和Dong's等。基本共识模型。所有这些方法都在不同的层次结构级别中使用,这使方法可以更紧密地适应实际的决策问题,可以更有效地利用可用数据,并最大限度地遵守专家的知识和经验。通过选择在诺维萨德农业学院的Sremski Karlovci实验场种植的四种最合适的葡萄品种,提出了这种方法。根据通过采用建议的方法并结合专家的反馈所获得的结果,发现该方法可以改善决策过程,以选择最合适的鲜食葡萄品种以实现最佳产量。 (C)2015 Elsevier B.V.保留所有权利。

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