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Лексикографски най-добър най-лош метод×Метод "Най-добър-Най-лош"×Лексикографско целево програмиране×Стратифициран метод на най-добрия и най-лошия (Stratified Best Worst Method)×
ОбластВземане на решенияВземане на решенияВземане на решенияВземане на решения
СемействоMCDMMCDMMCDMMCDM
Година на възникване2015201519612015
СъздателBased on Rezaei's BWM framework and lexicographic optimizationRezaei, J.Abraham Charnes and William W. CooperJafar Rezaei and collaborators
ТипSequential best-worst comparisons with priority hierarchyPairwise comparison (best-to-others + others-to-worst vectors), LPSequential goal optimization with priority levelsHierarchical pairwise comparison with layer-wise best-worst
Основополагащ източникRezaei, J. (2015). Best-worst multi-criteria decision-making method: Some properties and a linear model. Journal of Cleaner Production, 229, 976-985. DOI ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗Charnes, A., & Cooper, W. W. (1961). Management models and industrial applications of linear programming. Management Science, 8(1), 38-91. DOI ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method: Some properties and a linear model. Journal of Cleaner Production, 229, 976-985. DOI ↗
Други названияLexicographic BWMLexicographic GP, LGPStratified BWM
Свързани4824
РезюмеLexicographic 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.Stratified BWM is an extension of the Best Worst Method that applies the BWM logic recursively across multiple hierarchical layers. Instead of weighting criteria at a single level, it identifies the best and worst criterion within each level of a hierarchy, then aggregates weights across levels. This enables more realistic modeling of complex decision problems with natural hierarchical structures.
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ScholarGateСравнение на методи: Lexicographic Best Worst Method · BWM · Lexicographic Goal Programming · Stratified Best Worst Method. Извлечено на 2026-06-20 от https://scholargate.app/bg/compare