ScholarGate
Assistent

Jämför metoder

Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.

Probabilistisk lingvistisk utökning av MULTIMOORA×Metod baserad på kriteriers borttagningseffekter×
ÄmnesområdeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDM
Ursprungsår20182021
UpphovspersonWu, X. Liao, H. Xu, Z. S. Hafezalkotob, A. Herrera, F.Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
TypProbabilistic Linguistic multi-objective ranking — PLTS: {L_k|p_k} with expectation function + Borda aggregationRemoval-effect objective weighting (logarithmic utility)
UrsprungskällaWu, X., Liao, H., Xu, Z. S., Hafezalkotob, A., Herrera, F. (2018). Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule. IEEE Transactions on Fuzzy Systems DOI ↗Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Informatica DOI ↗
Alias
Närliggande88
SammanfattningPL-MULTIMOORA (Probabilistic Linguistic extension of MULTIMOORA) is a ranking multi-criteria decision-making (MCDM) method introduced by Wu, X. Liao, H. Xu, Z. S. Hafezalkotob, A. Herrera, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateDatamängd
  1. v1
  2. 1 Källor
  3. PUBLISHED
  1. v1
  2. 1 Källor
  3. PUBLISHED

Gå till sökningen Ladda ner bildspel

ScholarGateJämför metoder: PL-MULTIMOORA · MEREC. Hämtad 2026-06-17 från https://scholargate.app/sv/compare