Linear Programming for Multi-Criteria Assessment with Cardinal and Ordinal Data: A Pessimistic Virtual Gap Analysis

1. 1Formulate a multi-criteria decision-making problem using linear programming
2. 2Collect and preprocess cardinal and ordinal data for criteria evaluation
3. 3Apply a pessimistic virtual gap analysis to estimate parameters and compute alternative performances
4. 4Solve the linear programming model to obtain optimal alternative rankings
5. 5Analyze and interpret the results to inform decision-making

Data scientists and analysts on a team can benefit from this approach to make more informed decisions, while researchers can use it to improve the accuracy of their multi-criteria assessments

💡 Linear programming can effectively handle cardinal and ordinal data in multi-criteria assessments, reducing subjective biases and improving result reliability

Improve decision-making with linear programming for multi-criteria assessment!