Vertaile menetelmiä

	Root Assessment Method	Paras-Huonoin -menetelmä	CRiteria Importance Through Intercriteria Correlation (CRITIC)	Shannon-entropiapainotusmenetelmä
Tieteenala	Päätöksenteko	Päätöksenteko	Päätöksenteko	Päätöksenteko
Menetelmäperhe	MCDM	MCDM	MCDM	MCDM
Syntyvuosi	2023	2015	1995	1948
Kehittäjä	Sotoudeh-Anvari, A.	Rezaei, J.	Diakoulaki, D., Mavrotas, G., Papayannakis, L.	Shannon, C. E.
Tyyppi	Power-function aggregation with benefit/cost separation	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Statistical contrast intensity + correlation-based objective weighting	Information-theoretic objective weighting (Shannon entropy)
Alkuperäislähde	Sotoudeh-Anvari, A. (2023). Root Assessment Method (RAM): A novel multi-criteria decision making method and its applications in sustainability challenges. Journal of Cleaner Production	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal
Rinnakkaisnimet	—	—	—	—
Liittyvät	6	8	8	8
Tiivistelmä	RAM (Root Assessment Method) is a ranking multi-criteria decision-making (MCDM) method introduced by Sotoudeh-Anvari, A. in 2023. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. 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.	ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.