ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Rough-MARCOS×Sistēma kritēriju ietekmes mērīšanai×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20222025
AutorsMatić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž.Bošković, S., Jovčić, S., Simić, V., Švadlenka, L., Dobrodolac, M., Bacanin, N.
TipsRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Impact-based weighted scoring (criterion-level deviation analysis)
PirmavotsMatić, B., Marinković, M., Jovanović, S., Sremac, S., Stević, Ž. (2022). Intelligent Novel IMF D-SWARA—Rough MARCOS Algorithm for Selection Construction Machinery for Sustainable Construction of Road Infrastructure. Buildings DOI ↗Bošković, S., Jovčić, S., Simić, V., Švadlenka, L., Dobrodolac, M., Bacanin, N. (2025). A New Criteria Importance Assessment (CIMAS) Method in Multi-Criteria Group Decision-Making: Criteria Evaluation for Supplier Selection. FACTA UNIVERSITATIS — Series: Mechanical Engineering DOI ↗
Citi nosaukumi
Saistītās88
KopsavilkumsROUGH-MARCOS (Rough-MARCOS — Rough extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CIMAS (Criterion Impact MeAsurement System) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Bošković, S., Jovčić, S., Simić, V., Švadlenka, L., Dobrodolac, M., Bacanin, N. in 2025. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateDatu kopa
  1. v1
  2. 1 Avoti
  3. PUBLISHED
  1. v1
  2. 1 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: ROUGH-MARCOS · CIMAS. Izgūts 2026-06-18 no https://scholargate.app/lv/compare