Σύγκριση μεθόδων

	Σημασία Κριτηρίων μέσω Δι-κριτηριακής Συσχέτισης	AHPSort	Εναλλακτική Μέθοδος Κατάταξης που Λαμβάνει Υπόψη Διπλή Κανονικοποίηση
Πεδίο	Λήψη Αποφάσεων	Λήψη Αποφάσεων	Λήψη Αποφάσεων
Οικογένεια	MCDM	MCDM	MCDM
Έτος προέλευσης	1995	2012	2022
Δημιουργός	Diakoulaki, D., Mavrotas, G., Papayannakis, L.	Ishizaka, A., Nemery, P., Pearman, C.	Zdravković, M., Hamid, M., Radovanović, M.
Τύπος	Statistical contrast intensity + correlation-based objective weighting	AHP-based sorting with limiting or central profiles	Two-step normalisation (linear + vector) with weighted power aggregation
Θεμελιώδης πηγή	Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research	Ishizaka, A., Nemery, P., Pearman, C. (2012). AHPSort: An AHP-based method for sorting problems. International Journal of Production Research	Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering
Εναλλακτικές ονομασίες	—	—	—
Συναφείς	8	8	8
Σύνοψη	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.	AHPSORT (AHPSort — AHP-based classification of alternatives into ordered categories) is a sorting multi-criteria decision-making (MCDM) method introduced by Ishizaka, A., Nemery, P., Pearman, C. in 2012. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.