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Fuzzy SIWEC×Fuzzy TOPSIS (Chen-Hwang 1992)×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20241992
Auteur d'originePuška, A. Nedeljković, M. Pamučar, D. Božanić, D. Simić, V.Chen, S.-J., Hwang, C.-L.
TypeTriangular Fuzzy Number extension of SIWEC; experts use linguistic variables; dispersion-weighted aggregation with TFN arithmetic; outputs fuzzy weights defuzzified for downstream use.Distance-based ranking — Trapezoidal Fuzzy Number (TrFN: a, b, c, d) with Zadeh max-min similarity
Source fondatricePuška, A., Nedeljković, M., Pamučar, D., Božanić, D., Simić, V. (2024). Application of the new simple weight calculation (SIWEC) method in the case study in the sales channels of agricultural products. MethodsX DOI ↗Chen, S.-J., Hwang, C.-L. (1992). Fuzzy Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 375, Springer-Verlag, Berlin DOI ↗
Alias
Apparentées82
RésuméFUZZY-SIWEC (Fuzzy SIWEC — Fuzzy Simple Weight Calculation (F-SIWEC)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Puška, A. Nedeljković, M. Pamučar, D. Božanić, D. Simić, V. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.FUZZY-TOPSIS (Fuzzy TOPSIS (Chen-Hwang 1992) — Trapezoidal fuzzy TOPSIS with Zadeh sup-min similarity distance) is a ranking multi-criteria decision-making (MCDM) method introduced by Chen, S.-J., Hwang, C.-L. in 1992. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparer des méthodes: FUZZY-SIWEC · FUZZY-TOPSIS. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare