ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

Z数模糊算子加权法×Z数扩展的TOPSIS方法×
领域决策决策
方法族MCDMMCDM
起源年份20222018
提出者Puška, A. Božanić, D. Nedeljković, M. Janošević, M.Gardashova, L. A.
类型Logarithmic anti-ideal weighting under Z-number uncertainty with group aggregationZ-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy)
开创性文献Puška, 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 ↗Gardashova, L. A. (2018). Z-Number Based TOPSIS Method in Multi-Criteria Decision Making. Advances in Intelligent Systems and Computing DOI ↗
别名
相关88
摘要ZF-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.Z-TOPSIS (Z-Number extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gardashova, L. A. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate数据集
  1. v1
  2. 1 来源
  3. PUBLISHED
  1. v1
  2. 1 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: ZF-LMAW · Z-TOPSIS. 于 2026-06-18 检索自 https://scholargate.app/zh/compare