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Fuzzy SIWEC×Fuzzy TOPSIS (Chen-Hwang 1992)×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20241992
AutorsPuška, A. Nedeljković, M. Pamučar, D. Božanić, D. Simić, V.Chen, S.-J., Hwang, C.-L.
TipsTriangular 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
PirmavotsPuška, 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 ↗
Citi nosaukumi
Saistītās82
KopsavilkumsFUZZY-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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ScholarGateSalīdzināt metodes: FUZZY-SIWEC · FUZZY-TOPSIS. Izgūts 2026-06-18 no https://scholargate.app/lv/compare