dailyai.report

A new two-step Virtual Gap Analysis integrates linear programming to rank alternatives using both cardinal and ordinal data. The method adopts a pessimistic perspective to mitigate subjective biases and data diversity issues. This framework improves parameter precision in Multi-Criteria Analysis. Practitioners can now better handle mixed qualitative and quantitative datasets during complex decision-making processes.