ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Rough-COPRAS×CRiteria Importance Through Intercriteria Correlation×
ОбластьПринятие решенийПринятие решений
СемействоMCDMMCDM
Год появления20181995
Автор методаPamučar, D. Božanić, D. Lukovac, V. Komazec, N.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
ТипRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Statistical contrast intensity + correlation-based objective weighting
Основополагающий источникPamučar, D., Božanić, D., Lukovac, V., Komazec, N. (2018). Normalized weighted geometric Bonferroni mean operator of interval rough numbers – application in interval rough DEMATEL-COPRAS model. Facta Universitatis Series: Mechanical Engineering DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Другие названия
Связанные88
СводкаROUGH-COPRAS (Rough-COPRAS — Rough extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D. Božanić, D. Lukovac, V. Komazec, N. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateНабор данных
  1. v1
  2. 1 Источники
  3. PUBLISHED
  1. v1
  2. 1 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: ROUGH-COPRAS · CRITIC. Получено 2026-06-17 из https://scholargate.app/ru/compare