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Fuzzy WEight deNomination based on Slope coefficient (삼각 퍼지 확장)×평균 해법으로부터의 거리 기반 평가×
분야의사결정의사결정
계열MCDMMCDM
기원 연도20242015
창시자Demir, G., Ulusoy, S. K.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.
유형Weight_Subjective (linguistic-TFN expert weighting; envelope/slope ratio on TFN accumulation polyline)Distance from average solution
원전Demir, G., Ulusoy, S. K. (2024). Bulanık WENSLO Yöntemi ile Kriter Ağırlıklarının Belirlenmesi: Dijital Bankacılık Uygulaması. Computer and Decision Making — An International Journal link ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica DOI ↗
별칭
관련88
요약B-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.EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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