ScholarGate
助手

灰色/中智/粗糙

67 种方法属于此方法族。

精选

双极中立模糊 ELECTRE-IBN-ELECTRE-I (Bipolar Neutrosophic ELECTRE-I) is a electre family multi-criteria decision-making (MCDM) method introduced by Akram, M., Shumaiza, Smarandache, F. in 2018. It turns 双极中智TOPSISBN-TOPSIS (Bipolar Neutrosophic TOPSIS) is a topsis family multi-criteria decision-making (MCDM) method introduced by Akram, M., Shumaiza, Smarandache, F. in 2018. It turns a decis准则重要性通过准则间相关性 (CRITIC)CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., PapayaCRITIC-MCRITIC-M (Criteria Importance Through Intercriteria Correlation - Modified) is an objective weight derivation method that extends the classical CRITIC approach. It assigns weights 基于支配的粗糙集方法DRSA (Dominance-Based Rough Set Approach) is a sorting multi-criteria decision-making (MCDM) method introduced by Greco, S. Matarazzo, B. Słowiński, R. in 2001. It turns a decision灰色关联分析GRA (Grey Relational Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Deng, J. L. in 1989. It turns a decision matrix of alternatives scored on mul

阅读路径

本主题被引用最多的基础方法，按其提出的先后顺序排列——若您初次接触，不妨从这里开始。

  1. 蒙特卡洛模拟1949作者：Metropolis, N., Ulam, S.
  2. 灰色关联分析1989作者：Deng, J. L.
  3. 准则重要性通过准则间相关性 (CRITIC)1995作者：Diakoulaki, D., Mavrotas, G., Papayannakis, L.
  4. CRITIC-M1995作者：Based on Diakoulaki et al.'s CRITIC; modified variants developed later
  5. 中智扩展的TOPSIS方法2016作者：Biswas, P., Pramanik, S., Giri, B. C.
  6. 双极中立模糊 ELECTRE-I2018作者：Akram, M., Shumaiza, Smarandache, F.
  7. 双极中智TOPSIS2018作者：Akram, M., Shumaiza, Smarandache, F.
  8. 基于标准子区间函数映射到单一区间的备择方案排序2020作者：Žižović, M., Pamučar, D., Albijanić, M., Chatterjee, P., Pribićević, I.
本栏架上的全部方法 ↓

全部方法 67

双极中立模糊 ELECTRE-I双极中智TOPSIS准则重要性通过准则间相关性 (CRITIC)CRITIC-M基于支配的粗糙集方法灰色关联分析Grey-ARASGrey-CODASGrey-COPRAS灰EDASGrey-GRAGREY-MABACGREY-MARCOSGrey-MOORAGrey-ProjectionGrey-PROMETHEEGrey-SAWGrey-TODIMGrey-TOPSIS灰-VIKORGrey-WASPAS犹豫模糊灰关联分析区间数灰色关联分析区间粗糙CODAS (区间粗糙数的多准则群决策评估法)区间值中智数环境下MULTIMOORA方法2-元语言中性模糊EDAS蒙特卡洛模拟中立模糊ARASAROMAN的中性数扩展中性合意排序法 (Neutrosophic CoCoSo)CODAS的中性数扩展COPRAS-IN中智DNMAEDAS的直觉模糊扩展中智灰色关联分析法 (Neutrosophic extension of GRA)中智MABAC中智MARCOSN-MOORA（MOORA 的中智扩展）多准则决策（MCDM）方法MULTIMOORA的模糊集扩展PROMETHEE 的中智扩展中立模糊PSIRAFSI 的中智学扩展RAWEC 的中智扩展SPOTIS 的中智扩展TODIM 的中智扩展中智扩展的TOPSIS方法VIKOR中中智学扩展中智WASPAS中性模糊 WISPN-WPM（WPM 的中智扩展）中性球形CODAS扩展方法带BWM权重和粗糙数不确定性的Plithogenic MABAC基于标准子区间函数映射到单一区间的备择方案排序ROUGH-ARAS粗糙COPRASROUGH-DRSA（ROUGH-DRSARough-EDAS粗糙MABACROUGH-MARCOSRough-MOORARough-SAWRough-TODIM粗糙TOPSIS粗糙VIKORROUGH-WASPAS简化中智犹豫模糊环境下的最大偏差 TOPSIS三角模糊中智数环境下MULTIMOORA方法

MCDM — 模糊与不确定 中的更多内容

直觉/毕达哥拉斯/图片 80犹豫/球形 61模糊集 56