ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

GREY-EDAS×階層分析法×Analytic Network Process (フィードバックと相互依存性を考慮したAHP)×ベイジアンBWM×
分野意思決定意思決定意思決定意思決定
系統MCDMMCDMMCDMMCDM
提唱年2017198019962020
提唱者Stanujkic, D., Zavadskas, E. K., Keshavarz Ghorabaee, M., Turskis, Z.Saaty, T. L.Saaty, T. L.Mohammadi, M., Rezaei, J.
種類Grey outranking/ranking — Grey Interval Number (GIN: [x̲, x̄])Pairwise comparison (eigenvalue)Weight_Subjective (pairwise comparison, supermatrix, network structure)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
原典Stanujkic, D., Zavadskas, E. K., Keshavarz Ghorabaee, M., Turskis, Z. (2017). An Extension of the EDAS Method Based on the Use of Interval Grey Numbers. Studies in Informatics and Control DOI ↗Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
別名
関連8888
概要GREY-EDAS (Grey-EDAS — Grey extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Stanujkic, D., Zavadskas, E. K., Keshavarz Ghorabaee, M., Turskis, Z. in 2017. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateデータセット
  1. v1
  2. 1 出典
  3. PUBLISHED
  1. v1
  2. 1 出典
  3. PUBLISHED
  1. v1
  2. 1 出典
  3. PUBLISHED
  1. v1
  2. 1 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: GREY-EDAS · AHP · ANP · BWM-BAYESIAN. 2026-06-19に以下より取得 https://scholargate.app/ja/compare