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Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Fuzzy SIWEC×Fuzzy TOPSIS (Chen-Hwang 1992)×
ÁreaTomada de decisãoTomada de decisão
FamíliaMCDMMCDM
Ano de origem20241992
Autor originalPuška, A. Nedeljković, M. Pamučar, D. Božanić, D. Simić, V.Chen, S.-J., Hwang, C.-L.
TipoTriangular 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
Fonte seminalPuška, 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 ↗
Outros nomes
Relacionados82
ResumoFUZZY-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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ScholarGateComparar métodos: FUZZY-SIWEC · FUZZY-TOPSIS. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare