The MOORA method is a multi-objective optimization technique that uses ratio analysis to compare alternatives based on their responses to different objectives. It involves normalizing responses by dividing each by the square root of the sum of squares of all alternatives for that objective, resulting in dimensionless ratios between 0 and 1. These ratios are then added or subtracted depending on whether the objective is to be maximized or minimized, and the alternatives are ranked based on the total. MOORA is compared to the reference point method, which uses a Tchebycheff min-max metric to determine the distance from a reference point. The MOORA method is shown to be effective in privatization processes in transition economies, where multiple objectives such as productivity, employment, and investment need to be balanced. The method allows for the adjustment of objective importance through coefficients or sub-objectives. The reference point method is also applied, with the Tchebycheff metric being preferred for its ability to avoid non-convex outcomes. In a "wellbeing" economy, consumer sovereignty is prioritized over production, and MOORA is shown to handle this by considering leisure time and salary alongside productivity. The method is illustrated through simulations, demonstrating its effectiveness in ranking alternatives in both welfare and wellbeing economies. MOORA is compared to other ratio systems, with square root ratios being the most suitable. The method is also used in conjunction with the reference point method to ensure robustness. The study concludes that MOORA is a practical and effective method for multi-objective optimization, particularly in transition economies where multiple stakeholders have conflicting interests.The MOORA method is a multi-objective optimization technique that uses ratio analysis to compare alternatives based on their responses to different objectives. It involves normalizing responses by dividing each by the square root of the sum of squares of all alternatives for that objective, resulting in dimensionless ratios between 0 and 1. These ratios are then added or subtracted depending on whether the objective is to be maximized or minimized, and the alternatives are ranked based on the total. MOORA is compared to the reference point method, which uses a Tchebycheff min-max metric to determine the distance from a reference point. The MOORA method is shown to be effective in privatization processes in transition economies, where multiple objectives such as productivity, employment, and investment need to be balanced. The method allows for the adjustment of objective importance through coefficients or sub-objectives. The reference point method is also applied, with the Tchebycheff metric being preferred for its ability to avoid non-convex outcomes. In a "wellbeing" economy, consumer sovereignty is prioritized over production, and MOORA is shown to handle this by considering leisure time and salary alongside productivity. The method is illustrated through simulations, demonstrating its effectiveness in ranking alternatives in both welfare and wellbeing economies. MOORA is compared to other ratio systems, with square root ratios being the most suitable. The method is also used in conjunction with the reference point method to ensure robustness. The study concludes that MOORA is a practical and effective method for multi-objective optimization, particularly in transition economies where multiple stakeholders have conflicting interests.