3 papers
math.OC2026
Addressing Methodological Sensitivity in MCDM with a Systematic Pipeline Approach to Data Transformation Sensitivity Analysis
Juan B. Cabral, Alvaro Roy Schachner
Multicriteria decision-making methods exhibit critical dependence on the choice of normalization techniques, where different selections can alter 20-40% of the final rankings. Curr…
cs.SE2026
Software Entropy: A Statistical Mechanics Framework for Software Testing
Jerónimo Fotinós, Juan B. Cabral
The notion of software entropy is often invoked to describe the tendency of software systems to become increasingly disordered as they evolve, yet existing approaches to quantify i…
cs.AI2025
Closing a 17-Year Gap: Algorithmic Detection and Empirical Prevalence of Rank Reversal in Multi-Criteria Decision Analysis
AgustÃn Borda, Juan Bautista Cabral, Diego Nicolás Gimenez Irusta +5
Rank Reversal, where the relative order of alternatives changes in ways that violate axioms of rational decision-making, is a well-documented threat to the reliability of Multi-Cri…