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Mbinu ya Lugha ya Fikra ya Uzito wa Aidha (TFN)×Tathmini Kulingana na Umbali kutoka Suluhisho la Wastani×Mbinu ya Logarithm ya Uzito wa Aidha×MABAC×
NyanjaUfanyaji MaamuziUfanyaji MaamuziUfanyaji MaamuziUfanyaji Maamuzi
FamiliaMCDMMCDMMCDMMCDM
Mwaka wa asili2021 crisp; 2022 variant applicator201520212015
MwanzilishiBožanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.Pamučar, D., Žižović, M., Biswas, S., Božanić, D.Pamučar, D., Ćirović, G.
AinaTriangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal pointDistance from average solutionLogarithm-based additive weightingBorder approximation area (distance from BAA)
Chanzo asiliaBožanić, 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 ↗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., 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 ↗
Majina mbadala
Zinazohusiana8888
MuhtasariF-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.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.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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Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: F-LMAW · EDAS · LMAW · MABAC. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare