Department of Public Economics, VŠB-Technical University of Ostrava, Ostrava, Czech Republic.
PLoS One. 2022 Aug 4;17(8):e0271951. doi: 10.1371/journal.pone.0271951. eCollection 2022.
In the real world, acceptance of a decision is conditional on the availability of a great volume of data. Selection of a suitable solution on the basis of this data represents a problem that multi-criterial methods (MCDM) are applied to. The issue of which of these should be favoured during their use involves a specification of the importance of the assessed criteria. The goal of the presented research is to quantify the differences (symmetry) in assessment using selected MCDM methods (Technique for Order of Preference by Similarity to Ideal Solution-TOPSIS), while applying an absolute and relative variability of the assessed criteria to a determination of their importance. The obtained results indicate that the order of the assessed subject (alternative) is not directly influenced by the method of determining the variability of the assessed criteria. We can also state that the degree of concurrence in the order of application of the TOPSIS technique, in combination with both approaches expressed by the Jaccard index, is relatively low.
在现实世界中，对决策的接受取决于大量数据的可用性。基于这些数据选择合适的解决方案是多标准决策方法（MCDM）应用的问题。在使用这些方法时，应该优先考虑哪些方法的问题涉及到评估标准的重要性的规定。本研究的目的是量化使用选定的多标准决策方法（理想解排序技术 TOPSIS）进行评估的差异（对称性），同时应用评估标准的绝对和相对可变性来确定其重要性。得到的结果表明，评估对象（替代方案）的顺序不受评估标准可变性的确定方法的直接影响。我们还可以说，TOPSIS 技术应用顺序的一致性程度，与杰卡德指数表示的两种方法相结合，相对较低。
