Сравнение методов

	Метод оценки корней	Аналитический иерархический процесс	Метод Best-Worst	Метод энтропийного взвешивания Шеннона
Область	Принятие решений	Принятие решений	Принятие решений	Принятие решений
Семейство	MCDM	MCDM	MCDM	MCDM
Год появления	2023	1980	2015	1948
Автор метода	Sotoudeh-Anvari, A.	Saaty, T. L.	Rezaei, J.	Shannon, C. E.
Тип	Power-function aggregation with benefit/cost separation	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Information-theoretic objective weighting (Shannon entropy)
Основополагающий источник	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	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal
Другие названия	—	—	—	—
Связанные	6	8	8	8
Сводка	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.	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. 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.	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.