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Ekstensi Dual Hesitant Fuzzy dari TOPSIS×Metode pembobotan objektif Dampak Kriteria LOS (CILOS)×
BidangPengambilan KeputusanPengambilan Keputusan
KeluargaMCDMMCDM
Tahun asal20202016
PencetusWang, R., Li, W., Zhang, T., Han, Q.Zavadskas, E. K., Podvezko, V.
TipeDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Relative criterion-loss matrix weighting (Mirkin theorem based)
Sumber perintisWang, R., Li, W., Zhang, T., Han, Q. (2020). New Distance Measures for Dual Hesitant Fuzzy Sets and Their Application to Multiple Attribute Decision Making. 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
Terkait88
RingkasanDHF-TOPSIS (Dual Hesitant Fuzzy extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, R., Li, W., Zhang, T., Han, Q. in 2020. 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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ScholarGateBandingkan metode: DHF-TOPSIS · CILOS. Diakses 2026-06-18 dari https://scholargate.app/id/compare