Abstract
Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN) is a recently discovered method for Multi-Criteria Decision Making (MCDM). When using it, decision-makers must choose the values of two parameters, one being the value of the synthetic coefficient of normalized values (β), and the other being the value of the correlation coefficient between the quantities of criteria in each form (λ), referred to as user coefficients. Both of these coefficients have values ranging from 0 to 1. In previous AROMAN applications, both coefficients were consistently chosen as 0.5. This study investigates the impact of selecting different values for these coefficients. The investigation was carried out by varying the values of β and λ from 0.1 to 0.9. Results showed that the rankings of options were minimally affected by β and λ values. Notably, the best option consistently remained independent of the values chosen for β and λ.
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