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MPF-DOMBI-WA×Paras-Huonoin -menetelmä×
TieteenalaPäätöksentekoPäätöksenteko
MenetelmäperheMCDMMCDM
Syntyvuosi20202015
KehittäjäAkram, M., Yaqoob, N., Ali, G., Chammam, W.Rezaei, J.
TyyppiDombi-norm aggregation operator MCDM — Dombi sum/product on m-PF numbers (Eq. 4), weighted averaging (mFDWA, Eq. 6) and weighted geometric (mFDWG, Def. 9) operators, m-PF score function S(ζ)=(1/m)Σ p_i◦ζ (Eq. 1) rankingPairwise comparison (best-to-others + others-to-worst vectors), LP
AlkuperäislähdeAkram, M., Yaqoob, N., Ali, G., Chammam, W. (2020). Extensions of Dombi Aggregation Operators for Decision Making under m-Polar Fuzzy Information. Journal of Mathematics (Hindawi) link ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗
Rinnakkaisnimet
Liittyvät38
TiivistelmäMPF-DOMBI-WA (m-Polar Fuzzy Dombi Weighted Averaging / Geometric MCDM (Akram, Yaqoob, Ali & Chammam 2020 / Akram & Adeel 2023 Ch. 8) — single-DM m-PF MCDM ranking via Dombi t-conorm/t-norm-based aggregation operators (mFDWA primary, mFDWG companion) followed by m-PF score-based descending ordering) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Akram, M., Yaqoob, N., Ali, G., Chammam, W. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateVertaile menetelmiä: MPF-DOMBI-WA · BWM. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare