ScholarGate
Assistent
MCDMRankinghesitant

Hesitant Fuzzy Multi-Objective Optimization by Ratio Analysis

HF-MOORA (Hesitant Fuzzy Multi-Objective Optimization by Ratio Analysis) er en rangeringsmetode til multi-kriterie beslutningstagning (MCDM) introduceret af Li, Z.-H. i 2014. Den omdanner en beslutningsmatrix af alternativer, bedømt på flere kriterier, til et struktureret, reproducerbart resultat.

Anvend med DecisionMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Kilder

  1. Li, Z.-H. (2014). An Extension of the MULTIMOORA Method for Multiple Criteria Group Decision Making Based upon Hesitant Fuzzy Sets. Journal of Applied Mathematics DOI: 10.1155/2014/527836

Sådan citerer du denne side

ScholarGate. (2026, June 2). Hesitant Fuzzy Multi-Objective Optimization by Ratio Analysis. ScholarGate. https://scholargate.app/da/decision-making/hf-moora

ScholarGateHF-MOORA (Hesitant Fuzzy Multi-Objective Optimization by Ratio Analysis). Hentet 2026-06-15 fra https://scholargate.app/da/decision-making/hf-moora · Datasæt: https://doi.org/10.5281/zenodo.20539026