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LPF-CRITIC-EDAS×Novērtēšana, balstoties uz atšķirību no vidējā risinājuma×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads1995 crisp; 2023 variant applicator2015
AutorsAkram, M., Ramzan, N., Deveci, M.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.
TipsLinguistic Pythagorean fuzzy ranking — LPFN (I_ψ, I_ζ) with ψ²+ζ² ≤ τ²Distance from average solution
PirmavotsAkram, M., Ramzan, N., Deveci, M. (2023). Linguistic Pythagorean fuzzy CRITIC-EDAS method for multiple-attribute group decision analysis. Engineering Applications of Artificial Intelligence DOI ↗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 ↗
Citi nosaukumi
Saistītās18
KopsavilkumsLPF-EDAS (LPF-CRITIC-EDAS — Linguistic Pythagorean Fuzzy EDAS with CRITIC weighting (Akram-Ramzan-Deveci 2023)) is a ranking multi-criteria decision-making (MCDM) method introduced by Akram, M., Ramzan, N., Deveci, M. in 1995 crisp; 2023 variant applicator. 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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ScholarGateSalīdzināt metodes: LPF-EDAS · EDAS. Izgūts 2026-06-18 no https://scholargate.app/lv/compare