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Fuzzy Logaritme Methodologie van Additieve Gewichten (TFN)×Logaritme Methodologie van Additieve Gewichten×Multi-Attributive Border Approximation area Comparison×
VakgebiedBesluitvormingBesluitvormingBesluitvorming
FamilieMCDMMCDMMCDM
Jaar van ontstaan2021 crisp; 2022 variant applicator20212015
GrondleggerBožanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N.Pamučar, D., Žižović, M., Biswas, S., Božanić, D.Pamučar, D., Ćirović, G.
TypeTriangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal pointLogarithm-based additive weightingBorder approximation area (distance from BAA)
Oorspronkelijke bronBožanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. (2022). Modification of the Logarithm Methodology of Additive Weights (LMAW) by a Triangular Fuzzy Number and Its Application in Multi-Criteria Decision Making. Axioms DOI ↗Pamučar, D., Žižović, M., Biswas, S., Božanić, D. (2021). A new logarithm methodology of additive weights (LMAW) for multi-criteria decision-making: Application in logistics. Facta Universitatis, Series: Mechanical Engineering DOI ↗Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications DOI ↗
Aliassen
Verwant888
SamenvattingF-LMAW (Fuzzy Logarithm Methodology of Additive Weights (TFN)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. in 2021 crisp; 2022 variant applicator. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.LMAW (Logarithm Methodology of Additive Weights) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Žižović, M., Biswas, S., Božanić, D. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergelijken: F-LMAW · LMAW · MABAC. Geraadpleegd op 2026-06-19 via https://scholargate.app/nl/compare