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Fuzzy Logarithm Methodology of Additive Weights (TFN)×Комплексна пропорционална оценка×Оценка, базирана на разстояние от средното решение×Многоатрибутно сравнение на площта на граничното приближение×
ОбластВземане на решенияВземане на решенияВземане на решенияВземане на решения
СемействоMCDMMCDMMCDMMCDM
Година на възникване2021 crisp; 2022 variant applicator199620152015
СъздателBožanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N.Zavadskas, E. K., Kaklauskas, A.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.Pamučar, D., Ćirović, G.
ТипTriangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal pointProportional assessment (benefit/cost split)Distance from average solutionBorder approximation area (distance from BAA)
Основополагащ източникBožanić, 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 ↗Zavadskas, E. K., Kaklauskas, A. (1996). Determination of an Efficient Contractor by Using the New Method of Multicriteria Assessment. International Symposium for The Organization and Management of Construction. Shaping Theory and Practice. Vol. 2: Managing the Construction Project and Managing Risk. CIB W 65 link ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica 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 ↗
Други названия
Свързани8888
РезюмеF-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.COPRAS (Complex Proportional Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Kaklauskas, A. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. 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.
ScholarGateНабор от данни
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ScholarGateСравнение на методи: F-LMAW · COPRAS · EDAS · MABAC. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare