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基于斜率系数的模糊权重命名法(三角模糊扩展)×综合基于距离的排序×
领域决策决策
方法族MCDMMCDM
起源年份20242022
提出者Demir, G., Ulusoy, S. K.Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P.
类型Weight_Subjective (linguistic-TFN expert weighting; envelope/slope ratio on TFN accumulation polyline)Distance from PIS/NIS/AS (Euclidean × Taxicab combined)
开创性文献Demir, G., Ulusoy, S. K. (2024). Bulanık WENSLO Yöntemi ile Kriter Ağırlıklarının Belirlenmesi: Dijital Bankacılık Uygulaması. Computer and Decision Making — An International Journal link ↗Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. (2022). A Novel Axiomatic DEA-COBRA Framework for Evaluating the Sustainable Performance of Agri-Food Systems. Sustainability link ↗
别名
相关88
摘要B-WENSLO (Fuzzy WEight deNomination based on Slope coefficient (triangular fuzzy extension)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Demir, G., Ulusoy, S. K. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.COBRA (COmprehensive distance Based RAnking) is a ranking multi-criteria decision-making (MCDM) method introduced by Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate数据集
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  3. PUBLISHED

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ScholarGate方法对比: B-WENSLO · COBRA. 于 2026-06-18 检索自 https://scholargate.app/zh/compare