Vertaile menetelmiä

	Yksinkertaistettu PROBID käyttäen ideaalijoukkojen ylä- ja alasekäilia	Analytic Hierarchy Process	Paras-Huonoin -menetelmä	Shannon-entropiapainotusmenetelmä
Tieteenala	Päätöksenteko	Päätöksenteko	Päätöksenteko	Päätöksenteko
Menetelmäperhe	MCDM	MCDM	MCDM	MCDM
Syntyvuosi	2021	1980	2015	1948
Kehittäjä	Wang, Z., Rangaiah, G. P., Wang, X.	Saaty, T. L.	Rezaei, J.	Shannon, C. E.
Tyyppi	Multi-ideal distance ranking with quartile-based ideal selection	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Information-theoretic objective weighting (Shannon entropy)
Alkuperäislähde	Wang, Z., Rangaiah, G. P., Wang, X. (2021). Preference ranking on the basis of ideal-average distance method for multi-criteria decision-making. Industrial & Engineering Chemistry Research	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
Rinnakkaisnimet	—	—	—	—
Liittyvät	4	8	8	8
Tiivistelmä	SPROBID (Simplified PROBID using Top/Bottom Quartile Ideal Sets) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, Z., Rangaiah, G. P., Wang, X. in 2021. 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.