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。

区間値直観的ファジィCOPRAS(Davoudabadi-Mousavi-Mohagheghi-Vahdani 2019)×基準相関と標準偏差による客観的重み付け×
分野意思決定意思決定
系統MCDMMCDM
提唱年19892010
提唱者Atanassov, K. T., Gargov, G.Wang, Y. M., Luo, Y.
種類Compound-proportional ranking MCDM under Interval-Valued Intuitionistic Fuzzy uncertainty (IVIFN: ⟨[μ⁻,μ⁺],[ν⁻,ν⁺]⟩; μ⁺+ν⁺ ≤ 1) — Xu normalization + IVIF profit/cost sums + Garg score (GIS) compound Q_i + utility degree D_i (%)Correlation-penalised standard-deviation weighting
原典Atanassov, K. T., Gargov, G. (1989). Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems DOI ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
別名
関連88
概要IVIF-COPRAS (Interval-Valued Intuitionistic Fuzzy COPRAS (Davoudabadi-Mousavi-Mohagheghi-Vahdani 2019)) is a ranking multi-criteria decision-making (MCDM) method introduced by Atanassov, K. T., Gargov, G. in 1989. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. 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

検索へ スライドをダウンロード

ScholarGate手法を比較: IVIF-COPRAS · CCSD. 2026-06-17に以下より取得 https://scholargate.app/ja/compare