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Assessment of the Sustainability of Agricultural Production in the Region on the Basis of Five-Level Fuzzy 0,1 - Classifier

机译:基于五层模糊的地区农业生产可持续性评估0,1 - 分类器

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The technique of estimation of stability of agricultural production in the region on the basis of standard multilevel fuzzy [0,1] - classifiers is offered. The methodology makes it possible to form a comprehensive sustainability of agricultural production in the region based on the factors of three groups: economic, social and environmental sustainability. The resulting estimate is based on aggregation of estimates for each of the three listed areas. Evaluation of each area is based on the aggregation of the assessments of the mixed complex indicators. Aggregation is performed on the basis of time series of numerical values of heterogeneous indicators reflecting both the level and growth rates of indicators for the studied periods. The contribution of each of the indicators is estimated using a weighting factor reflecting its importance. The advantages of the proposed evaluation methodology in comparison with the existing methods consist in a simple scheme of calculations, taking into account a large number of heterogeneous significant indicators, allowing for variation depending on the available statistical material and features of a specific practical problem. It is adaptable and versatile, allowing it to be applied to assess the intensity of not only agricultural but also industrial production on various scales.
机译:提供了基于标准多级模糊的地区农业生产稳定性技术估算技术。该方法基于三组的因素,可以在该地区形成综合农业生产可持续性:经济,社会和环境可持续性。由此产生的估计是基于三个列出区域中的每一个的估计的聚合。对每个区域的评估是基于混合复合物指标评估的聚集。基于异构指标的数值序列来执行聚合,反映所研究期间的指标的水平和生长速率。使用反映其重要性的加权因子估计每个指标的贡献。与现有方法相比,所提出的评估方法的优点是在一个简单的计算方案中,考虑到大量的异质重要指标,取决于可用统计材料和特定实际问题的特征。它是适应性和多功能的,可以应用于评估各种尺度上的农业而且还适用于农业的强度。

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