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Z-Number 퍼지 로그 방법론의 가중치 합산 (ZF-LMAW)×퍼지 ARAS×
분야의사결정의사결정
계열MCDMMCDM
기원 연도20222010
창시자Puška, A. Božanić, D. Nedeljković, M. Janošević, M.Turskis, Z., Zavadskas, E. K.
유형Logarithmic anti-ideal weighting under Z-number uncertainty with group aggregationFuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)
원전Puška, A., Božanić, D., Nedeljković, M., Janošević, M. (2022). Green Supplier Selection in an Uncertain Environment in Agriculture Using a Hybrid MCDM Model: Z-Numbers–Fuzzy LMAW–Fuzzy CRADIS Model. Axioms DOI ↗Turskis, Z., Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport DOI ↗
별칭
관련82
요약ZF-LMAW (Z-Number Fuzzy Logarithm Methodology of Additive Weights) is a weighting multi-criteria decision-making (MCDM) method introduced by Puška, A. Božanić, D. Nedeljković, M. Janošević, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.FUZZY-ARAS (Fuzzy ARAS — Fuzzy extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Turskis, Z., Zavadskas, E. K. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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