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Probabilistisk Hesitant-tillägg av VIKOR×CILOS (Criterion Impact LOSs objective weighting method)×
ÄmnesområdeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDM
Ursprungsår20172016
UpphovspersonZhang, S. Xu, Z. S. He, Y.Zavadskas, E. K., Podvezko, V.
TypProbabilistic Hesitant outranking/ranking — Probabilistic Hesitant Fuzzy Element (PHFE: {γ|p} pairs)Relative criterion-loss matrix weighting (Mirkin theorem based)
UrsprungskällaZhang, S., Xu, Z. S., He, Y. (2017). Operations and integrations of probabilistic hesitant fuzzy information in decision making. Information Fusion DOI ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
Alias
Närliggande88
SammanfattningPHF-VIKOR (Probabilistic Hesitant extension of VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by Zhang, S. Xu, Z. S. He, Y. in 2017. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateJämför metoder: PHF-VIKOR · CILOS. Hämtad 2026-06-17 från https://scholargate.app/sv/compare