Abstract
In the field of multi-criteria decision-making, compromise is often sought because it is highly desirable for decision-making. However, over the years, many methods have been developed for decision-making, between which discrepancies in the final rankings are often present. For this reason, it is worth noting the possibility of a compromise between different multi-criteria decision-making methods. One such solution is the Iterative Compromise Ranking Analysis (ICRA), which, by means of an iterative evaluation of the preferences of alternatives, leads to a compromise between the methods under consideration. This work presents an example of a solution to a theoretical decision problem, for which five methods were used: TOPSIS, VIKOR, MARCOS, MABAC and EDAS. In addition, an empirical analysis of the compromise solution was carried out to check the effect of parameters on the number of iterations needed to reach a compromise and the differences between the rankings proposed by the methods and the compromise ranking. The work showed that this is an interesting tool that can find its use in the field of multi-criteria decision-making as well as can be used to analyze the behaviour of multi-criteria decision-making methods.
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Paradowski, B., Kizielewicz, B., Shekhovtsov, A., Sałabun, W. (2023). The Iterative Compromise Ranking Analysis (ICRA) - The New Approach to Make Reliable Decisions. In: Ziemba, E., Chmielarz, W., Wątróbski, J. (eds) Information Technology for Management: Approaches to Improving Business and Society. FedCSIS-AIST ISM 2022 2022. Lecture Notes in Business Information Processing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-031-29570-6_8
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