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简化中智犹豫模糊环境下的最大偏差 TOPSIS

实际决策需要权衡多个相互冲突的、以不同尺度衡量的准则。SNHF-TOPSIS 提供了一个透明的、分步的程序,将这些准则组合成一个可辩护的结果,而不是仅仅依赖直觉。

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简化中智犹豫模糊环境下的最大偏差 TOPSIS
中智扩展的TOPSIS方法理想解相似优劣排序法

来源

  1. Akram, M., Naz, S., Smarandache, F. (2019). Generalization of Maximizing Deviation and TOPSIS Method for MADM in Simplified Neutrosophic Hesitant Fuzzy Environment. Symmetry DOI: 10.3390/sym11081058

如何引用本页

ScholarGate. (2026, June 2). TOPSIS with Maximizing Deviation in Simplified Neutrosophic Hesitant Fuzzy Environment. ScholarGate. https://scholargate.app/zh/decision-making/snhf-topsis

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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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ScholarGateSNHF-TOPSIS (TOPSIS with Maximizing Deviation in Simplified Neutrosophic Hesitant Fuzzy Environment). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/snhf-topsis · 数据集: https://doi.org/10.5281/zenodo.20539026