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m-Polär Hesitant Fuzzy-utvidgning av TOPSIS×CILOS (Criterion Impact LOSs objective weighting method)×
ÄmnesområdeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDM
Ursprungsår20192016
UpphovspersonAkram, M., Adeel, A., Alcantud, J.C.R.Zavadskas, E. K., Podvezko, V.
Typm-Polar Hesitant outranking/ranking — m-Polar Hesitant Fuzzy Element (mHFE: m-tuple of HFEs, ℏ_m: Z → P([0,1]^m))Relative criterion-loss matrix weighting (Mirkin theorem based)
UrsprungskällaAkram, M., Adeel, A., Alcantud, J.C.R. (2019). Multi-Criteria Group Decision-Making Using an m-Polar Hesitant Fuzzy TOPSIS Approach. Symmetry 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
SammanfattningMHF-TOPSIS (m-Polar Hesitant Fuzzy extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Akram, M., Adeel, A., Alcantud, J.C.R. in 2019. 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: MHF-TOPSIS · CILOS. Hämtad 2026-06-19 från https://scholargate.app/sv/compare