MCDMWeight Objectivecrisp
香农熵权重法
熵(香农熵权重法)是一种客观赋权的多准则决策(MCDM)方法,由 C. E. Shannon 于 1948 年提出。它将多个准则下备选方案的评分决策矩阵转化为结构化、可复现的结果。
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来源
- Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI: 10.1002/j.1538-7305.1948.tb01338.x ↗
如何引用本页
ScholarGate. (2026, June 2). Shannon Entropy Weighting Method. ScholarGate. https://scholargate.app/zh/decision-making/entropy
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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- 组合折衷解决策↔ compare
- 组合距离评估法决策↔ compare
被引用于
平衡SPOTIS综合基于距离的排序基于相对价值距离的选举法QUALIFLEX的犹豫模糊扩展直觉模糊ARAS直觉模糊EDAS直觉模糊PROMETHEE直觉模糊TODIM方法直觉模糊TOPSIS区间值直觉模糊ARAS (Büyüközkan & Göçer 2018)区间直觉模糊MABAC (Xue, You, Lai, Liu 2016)区间直觉模糊TODIM (Krohling & Pacheco 2014)区间直觉模糊VIKOR法(Park, Cho & Kwun 2011)线性求和归一化邻域自适应有序加权平均法局部加权线性组合 (Local WLCMPF-DOMBI-WAm-Polar Hesitant Fuzzy TOPSIS (Akram, Adeel & Alcantud 2019, Symmetry 11(6):795)COPRAS-IN概率犹豫集COPRAS扩展带BWM权重和粗糙数不确定性的Plithogenic MABACMULTIMOORA的概率语言扩展基于理想-平均距离的偏好排序PROMETHEE IIProximity-Adjusted WLC根评估法空间有序加权平均法SPROBID (基于顶/底四分位理想集的简化 PROBID)三角直觉模糊数CODAS (Daami Remadi & Frikha 2023)Z数偏好排序组织方法(II)距离理想解的Z数模糊折衷排序法