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HFL-AHP×Novērtēšana, balstoties uz atšķirību no vidējā risinājuma×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20152015
AutorsYavuz, M., Öztaysi, B., Çevik Onar, S., Kahraman, C.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.
TipsHFLTS-envelope pairwise comparison — interval/2-tuple aggregation — preference-degree (Yavuz) or defuzz (Özdağoğlu) rankingDistance from average solution
PirmavotsYavuz, M., Öztaysi, B., Çevik Onar, S., Kahraman, C. (2015). Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model. Expert Systems with Applications DOI ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica DOI ↗
Citi nosaukumi
Saistītās88
KopsavilkumsHFL-AHP (Hesitant Fuzzy Linguistic AHP (HFLTS-envelope family: Yavuz 2015 + Özdağoğlu 2018)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Yavuz, M., Öztaysi, B., Çevik Onar, S., Kahraman, C. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateSalīdzināt metodes: HFL-AHP · EDAS. Izgūts 2026-06-18 no https://scholargate.app/lv/compare