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삼각 퍼지 수(TFN)를 이용한 퍼지 로그 가중치 방법론×평균 해법으로부터의 거리 기반 평가×
분야의사결정의사결정
계열MCDMMCDM
기원 연도2021 crisp; 2022 variant applicator2015
창시자Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.
유형Triangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal pointDistance from average solution
원전Božanić, 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 ↗
별칭
관련88
요약F-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.
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ScholarGate방법 비교: F-LMAW · EDAS. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare