H'/> Co-constructive development of a green chemistry-based model for the assessment of nanoparticles synthesis
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Co-constructive development of a green chemistry-based model for the assessment of nanoparticles synthesis

机译:基于绿色化学的共同建设性发展,用于评估纳米粒子合成

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Highlights?We propose the synergy of ordinal regression methods for multiple criteria sorting.?We postulate consideration of all maximal sets of consistent assignment examples.?The proposed approach is used to classify the synthesis protocols of silver nanoparticles.?The precise recommendation is judged against robust and stochastic results.?We highlight the mutual learning of the preference model and the decision maker.AbstractNanomaterials (materials at the nanoscale,10?9meters) are extensively used in several industry sectors due to the
机译:<![CDATA [ 亮点 我们提出的有序回归方法用于多标准排序的协同作用 我们假设考虑的所有极大套的一致分配例子< / CE:对> 所提出的方法是用于银纳米颗粒的合成方法进行分类 精确建议判断针对鲁棒和随机结果 < CE:标签> 我们强调偏好模型的相互学习和决策者 抽象 纳米材料(材料在纳米尺度, 10 9 < / MML:MSUP> 米)在若干工业部门广泛使用,由于该

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