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TOPSIS m-polārās neizlēmīgās izplūdušās kopas paplašinājums×CILOS×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20192016
AutorsAkram, M., Adeel, A., Alcantud, J.C.R.Zavadskas, E. K., Podvezko, V.
Tipsm-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)
PirmavotsAkram, 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 ↗
Citi nosaukumi
Saistītās88
KopsavilkumsMHF-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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ScholarGateSalīdzināt metodes: MHF-TOPSIS · CILOS. Izgūts 2026-06-18 no https://scholargate.app/lv/compare