Virtual Gap Analysis

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

This paper introduces novel linear programming-based Virtual Gap Analysis (VGA) models for multi-criteria assessment, addressing issues of subjective evaluations and data diversity. The two-step method assesses alternatives pessimistically using cardinal and ordinal data, enabling efficient ranking and elimination of unfavorable options within decision support systems.