Novel methodology for grouping and ranking with application of self-organizing maps and multicriteria decision analysis is presented. The dataset consists of 22 objects that are analytical procedures applied to furan determination in food samples. They are described by 10 variables, referred to their analytical performance, environmental and economic aspects. Multivariate statistics analysis allows to limit the amount of input data for ranking analysis. Assessment results show that the most beneficial procedures are based on microextraction techniques with GC-MS final determination. It is presented how the information obtained from both tools complement each other. The applicability of combination of grouping and ranking is also discussed.

提出了使用自组织图和多准则决策分析进行分组和排名的新方法。该数据集由22个对象组成，这些对象是应用于食品样品中呋喃测定的分析程序。它们由10个变量描述，涉及其分析性能，环境和经济方面。多元统计分析允许限制用于排名分析的输入数据量。评估结果表明，最有利的程序是基于微萃取技术，并最终确定了GC-MS。本文介绍了从这两种工具获得的信息如何相互补充。还讨论了分组和排名相结合的适用性。