Comparar métodos

	Método Lexicográfico Mejor-Peor (BWM)	Método Best-Worst	Programación por Metas Lexicográfica
Campo	Toma de decisiones	Toma de decisiones	Toma de decisiones
Familia	MCDM	MCDM	MCDM
Año de origen	2015	2015	1961
Autor original	Based on Rezaei's BWM framework and lexicographic optimization	Rezaei, J.	Abraham Charnes and William W. Cooper
Tipo	Sequential best-worst comparisons with priority hierarchy	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Sequential goal optimization with priority levels
Fuente seminal	Rezaei, J. (2015). Best-worst multi-criteria decision-making method: Some properties and a linear model. Journal of Cleaner Production, 229, 976-985.	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Charnes, A., & Cooper, W. W. (1961). Management models and industrial applications of linear programming. Management Science, 8(1), 38-91.
Alias	Lexicographic BWM	—	Lexicographic GP, LGP
Relacionados	4	8	2
Resumen	Lexicographic BWM combines the strengths of the Best Worst Method with lexicographic (sequential) optimization. Instead of weighting all criteria simultaneously, it assigns criteria to priority levels, solves the BWM for the highest-priority criteria first, then solves for lower-priority criteria while keeping the higher-priority weights fixed. This ensures that higher-priority criteria are never sacrificed to improve lower-priority ones.	BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	Lexicographic Goal Programming (LGP) is a variant of goal programming introduced by Charnes and Cooper in the 1960s. It prioritizes multiple goals in a strict ordinal hierarchy, solving optimization problems sequentially: first achieve the highest-priority goal, then the second-highest while maintaining the first, and so on. This ensures that lower-priority goals are never pursued at the expense of higher-priority ones.